assignment11_003.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "assignment11_003.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOD0x9R0I9y4NPw4lXU3pQ0",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/dlguswn3659/class-MachineLearning/blob/master/assignment11_003.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QYerxiOfBiJr",
        "colab_type": "code",
        "outputId": "4ed351da-1e64-4a4b-c440-3e16c979ab1d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 923
        }
      },
      "source": [
        "import numpy as np\n",
        "import re\n",
        "import nltk\n",
        "from sklearn.datasets import load_files\n",
        "nltk.download('stopwords')\n",
        "nltk.download('wordnet')\n",
        "import pickle\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.stem import WordNetLemmatizer\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.feature_extraction.text import TfidfTransformer\n",
        "from sklearn.model_selection import train_test_split\n",
        "# from google.colab import files\n",
        "\n",
        "# uploaded = files.upload()\n",
        "\n",
        "import zipfile\n",
        "import io\n",
        "zf = zipfile.ZipFile(io.BytesIO(uploaded['movie_review.zip']), \"r\")\n",
        "zf.extractall()\n",
        "\n",
        "review_data = load_files(r\"movie_review\")\n",
        "X, y = review_data.data, review_data.target\n",
        "\n",
        "documents = []\n",
        "\n",
        "stemmer = WordNetLemmatizer()\n",
        "\n",
        "for sen in range(0, len(X)):\n",
        "    # Remove all the special characters\n",
        "    document = re.sub(r'\\W', ' ', str(X[sen]))\n",
        "    \n",
        "    # remove all single characters\n",
        "    document = re.sub(r'\\s+[a-zA-Z]\\s+', ' ', document)\n",
        "    \n",
        "    # Remove single characters from the start\n",
        "    document = re.sub(r'\\^[a-zA-Z]\\s+', ' ', document) \n",
        "    \n",
        "    # Substituting multiple spaces with single space\n",
        "    document = re.sub(r'\\s+', ' ', document, flags=re.I)\n",
        "    \n",
        "    # Removing prefixed 'b'\n",
        "    document = re.sub(r'^b\\s+', '', document)\n",
        "    \n",
        "    # Converting to Lowercase\n",
        "    document = document.lower()\n",
        "    \n",
        "    # Lemmatization\n",
        "    document = document.split()\n",
        "    document = [stemmer.lemmatize(word) for word in document]\n",
        "    document = ' '.join(document)\n",
        "    \n",
        "    documents.append(document)\n",
        "\n",
        "vectorizer = CountVectorizer(max_features=1000, min_df=5, max_df=0.7, stop_words=stopwords.words('english'))\n",
        "print(vectorizer)\n",
        "X = vectorizer.fit_transform(documents).toarray()\n",
        "print(X)\n",
        "\n",
        "# tfidfconverter = TfidfTransformer()\n",
        "# print(tfidfconverter)\n",
        "# X = tfidfconverter.fit_transform(X).toarray()\n",
        "# print(X)\n",
        "\n",
        "train_data, test_data, train_labels, test_labels = train_test_split(X, y, test_size=0.3, shuffle=False)\n",
        "\n",
        "print(train_data[0])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n",
            "[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data]   Package wordnet is already up-to-date!\n",
            "CountVectorizer(analyzer='word', binary=False, decode_error='strict',\n",
            "                dtype=<class 'numpy.int64'>, encoding='utf-8', input='content',\n",
            "                lowercase=True, max_df=0.7, max_features=1000, min_df=5,\n",
            "                ngram_range=(1, 1), preprocessor=None,\n",
            "                stop_words=['i', 'me', 'my', 'myself', 'we', 'our', 'ours',\n",
            "                            'ourselves', 'you', \"you're\", \"you've\", \"you'll\",\n",
            "                            \"you'd\", 'your', 'yours', 'yourself', 'yourselves',\n",
            "                            'he', 'him', 'his', 'himself', 'she', \"she's\",\n",
            "                            'her', 'hers', 'herself', 'it', \"it's\", 'its',\n",
            "                            'itself', ...],\n",
            "                strip_accents=None, token_pattern='(?u)\\\\b\\\\w\\\\w+\\\\b',\n",
            "                tokenizer=None, vocabulary=None)\n",
            "[[0 0 0 ... 0 0 1]\n",
            " [0 0 0 ... 0 0 2]\n",
            " [0 0 0 ... 0 1 0]\n",
            " ...\n",
            " [0 0 1 ... 0 0 0]\n",
            " [0 0 0 ... 0 0 0]\n",
            " [0 0 0 ... 0 0 1]]\n",
            "[0 0 0 2 1 0 0 3 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 3 0 4 0 2 0 0 0 0 0 0 0 0 0\n",
            " 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 1 0 0 0 7 4 0 0 0 0\n",
            " 0 0 0 0 0 0 0 0 0 0 0 0 0 3 2 5 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0\n",
            " 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0\n",
            " 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0\n",
            " 0 0 0 2 0 0 2 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 1 0 1\n",
            " 0 0 0 3 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0\n",
            " 0 0 1 0 0 0 0 0 0 0 4 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 2 0 2 0 0 0 0\n",
            " 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 1 0 1 0 0 0 1 0\n",
            " 0 0 1 0 1 1 0 1 2 0 0 0 0 0 0 0 3 0 0 2 0 1 0 1 6 0 0 0 2 3 0 0 0 0 0 0 0\n",
            " 0 2 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 1 0 0 1 0 0 1 0 0\n",
            " 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
            " 0 1 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 3 0 0 0 1 0 0 0 0\n",
            " 0 0 0 3 1 0 0 0 0 0 0 0 0 0 2 1 0 1 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0\n",
            " 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 4 0 0 2 0 0 0 0 1 0 0 0 0 0 5\n",
            " 0 0 0 3 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 5 0 0 2 0 1 0 0 0 1 1 0 0 0\n",
            " 1 1 0 1 0 0 1 0 0 0 2 0 2 0 2 1 0 0 5 1 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0\n",
            " 0 3 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 1 1 0 0\n",
            " 0 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0\n",
            " 0 0 0 0 0 0 0 0 3 2 0 0 0 0 0 0 0 2 0 0 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0\n",
            " 0 0 0 0 0 1 0 0 6 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 0 1 1 1 1 0 1 0 0 0 1 0 1\n",
            " 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 0\n",
            " 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0\n",
            " 0 1 0 0 0 0 1 2 0 0 0 0 1 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0\n",
            " 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0\n",
            " 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 1 0 0\n",
            " 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 3 0 0 1 2 0 0 1 0 6 1 1 0 0 1 0 0\n",
            " 1]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RTUbfE3nHMIf",
        "colab_type": "code",
        "outputId": "60766ac5-d98c-4306-e662-61d7724b60cf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "max([max(sequence) for sequence in train_data])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "36"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b8lORN_xHPHL",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "\n",
        "def vectorize_sequences(sequences, dimension=1000):\n",
        "    # Create an all-zero matrix of shape (len(sequences), dimension)\n",
        "    results = np.zeros((len(sequences), dimension))\n",
        "    for i, sequence in enumerate(sequences):\n",
        "        results[i, sequence] = 1.  # set specific indices of results[i] to 1s\n",
        "    return results\n",
        "\n",
        "# Our vectorized training data\n",
        "x_train = vectorize_sequences(train_data)\n",
        "# Our vectorized test data\n",
        "x_test = vectorize_sequences(test_data)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CMmWQNt7K0x3",
        "colab_type": "code",
        "outputId": "5b9aacf1-4ceb-4fa2-bb68-c1907ddfd0d0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "x_train[10]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1., 1., 1., 1., 1., 0., 1., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0FWMx-KVLC4r",
        "colab_type": "code",
        "outputId": "046e6f8f-fdd3-440d-bd6e-8ddbf582603e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "train_labels[10]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dy-KJykCLHez",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Our vectorized labels\n",
        "y_train = np.asarray(train_labels).astype('float32')\n",
        "y_test = np.asarray(test_labels).astype('float32')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3LOut8q3LJiN",
        "colab_type": "code",
        "outputId": "4feb3bcd-b506-4740-9e0e-daab7b6254b7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "y_train[10]"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 115
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S66MrXU9LMLr",
        "colab_type": "code",
        "outputId": "ae0667ea-5b95-4dae-db18-bf8668127276",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        }
      },
      "source": [
        "from keras import models\n",
        "from keras import layers\n",
        "\n",
        "model = models.Sequential()\n",
        "model.add(layers.Dense(16, activation='relu', input_shape=(1000,)))\n",
        "model.add(layers.Dense(16, activation='relu'))\n",
        "model.add(layers.Dense(1, activation='sigmoid'))\n",
        "model.summary()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_10\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense_28 (Dense)             (None, 16)                16016     \n",
            "_________________________________________________________________\n",
            "dense_29 (Dense)             (None, 16)                272       \n",
            "_________________________________________________________________\n",
            "dense_30 (Dense)             (None, 1)                 17        \n",
            "=================================================================\n",
            "Total params: 16,305\n",
            "Trainable params: 16,305\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CW5JC7_VLSzC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model.compile(optimizer='rmsprop',\n",
        "              loss='binary_crossentropy',\n",
        "              metrics=['accuracy'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z3ra7-VFLe58",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from keras import optimizers\n",
        "\n",
        "model.compile(optimizer=optimizers.RMSprop(lr=0.0001),\n",
        "              loss='binary_crossentropy',\n",
        "              metrics=['accuracy'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Zi1iyxuJLgKj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from keras import losses\n",
        "from keras import metrics\n",
        "\n",
        "model.compile(optimizer=optimizers.RMSprop(lr=0.0001),\n",
        "              loss=losses.binary_crossentropy,\n",
        "              metrics=[metrics.binary_accuracy])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sGM5qupoLhfV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "x_val = x_train[:1000]\n",
        "partial_x_train = x_train[1000:]\n",
        "\n",
        "y_val = y_train[:1000]\n",
        "partial_y_train = y_train[1000:]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e3qgc7ctLlTN",
        "colab_type": "code",
        "outputId": "1b18c84c-42ae-4824-8e2b-3e1f7b813667",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "history = model.fit(partial_x_train,\n",
        "                    partial_y_train,\n",
        "                    epochs=10000,\n",
        "                    batch_size=512,\n",
        "                    validation_data=(x_val, y_val))"
      ],
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43m스트리밍 출력 내용이 길어서 마지막 5000줄이 삭제되었습니다.\u001b[0m\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9520 - val_binary_accuracy: 0.5470\n",
            "Epoch 7502/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9527 - val_binary_accuracy: 0.5460\n",
            "Epoch 7503/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9523 - val_binary_accuracy: 0.5470\n",
            "Epoch 7504/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9527 - val_binary_accuracy: 0.5460\n",
            "Epoch 7505/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9525 - val_binary_accuracy: 0.5470\n",
            "Epoch 7506/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9529 - val_binary_accuracy: 0.5460\n",
            "Epoch 7507/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9527 - val_binary_accuracy: 0.5470\n",
            "Epoch 7508/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9530 - val_binary_accuracy: 0.5460\n",
            "Epoch 7509/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9527 - val_binary_accuracy: 0.5470\n",
            "Epoch 7510/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9533 - val_binary_accuracy: 0.5460\n",
            "Epoch 7511/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9527 - val_binary_accuracy: 0.5470\n",
            "Epoch 7512/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9532 - val_binary_accuracy: 0.5460\n",
            "Epoch 7513/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9527 - val_binary_accuracy: 0.5470\n",
            "Epoch 7514/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5400 - binary_accuracy: 0.6708 - val_loss: 0.9533 - val_binary_accuracy: 0.5460\n",
            "Epoch 7515/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9531 - val_binary_accuracy: 0.5470\n",
            "Epoch 7516/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9535 - val_binary_accuracy: 0.5460\n",
            "Epoch 7517/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9533 - val_binary_accuracy: 0.5470\n",
            "Epoch 7518/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9535 - val_binary_accuracy: 0.5460\n",
            "Epoch 7519/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9533 - val_binary_accuracy: 0.5470\n",
            "Epoch 7520/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9538 - val_binary_accuracy: 0.5460\n",
            "Epoch 7521/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9533 - val_binary_accuracy: 0.5470\n",
            "Epoch 7522/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9539 - val_binary_accuracy: 0.5460\n",
            "Epoch 7523/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9534 - val_binary_accuracy: 0.5470\n",
            "Epoch 7524/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9540 - val_binary_accuracy: 0.5460\n",
            "Epoch 7525/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9536 - val_binary_accuracy: 0.5470\n",
            "Epoch 7526/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9541 - val_binary_accuracy: 0.5460\n",
            "Epoch 7527/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9538 - val_binary_accuracy: 0.5470\n",
            "Epoch 7528/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9542 - val_binary_accuracy: 0.5460\n",
            "Epoch 7529/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9540 - val_binary_accuracy: 0.5470\n",
            "Epoch 7530/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9543 - val_binary_accuracy: 0.5460\n",
            "Epoch 7531/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9541 - val_binary_accuracy: 0.5470\n",
            "Epoch 7532/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9545 - val_binary_accuracy: 0.5460\n",
            "Epoch 7533/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9541 - val_binary_accuracy: 0.5470\n",
            "Epoch 7534/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9547 - val_binary_accuracy: 0.5460\n",
            "Epoch 7535/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9542 - val_binary_accuracy: 0.5470\n",
            "Epoch 7536/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9548 - val_binary_accuracy: 0.5460\n",
            "Epoch 7537/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5399 - binary_accuracy: 0.6708 - val_loss: 0.9544 - val_binary_accuracy: 0.5470\n",
            "Epoch 7538/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9547 - val_binary_accuracy: 0.5460\n",
            "Epoch 7539/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9545 - val_binary_accuracy: 0.5470\n",
            "Epoch 7540/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9549 - val_binary_accuracy: 0.5460\n",
            "Epoch 7541/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9547 - val_binary_accuracy: 0.5470\n",
            "Epoch 7542/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9551 - val_binary_accuracy: 0.5460\n",
            "Epoch 7543/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9548 - val_binary_accuracy: 0.5470\n",
            "Epoch 7544/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9552 - val_binary_accuracy: 0.5460\n",
            "Epoch 7545/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9548 - val_binary_accuracy: 0.5470\n",
            "Epoch 7546/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9554 - val_binary_accuracy: 0.5460\n",
            "Epoch 7547/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9549 - val_binary_accuracy: 0.5470\n",
            "Epoch 7548/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9554 - val_binary_accuracy: 0.5460\n",
            "Epoch 7549/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9551 - val_binary_accuracy: 0.5470\n",
            "Epoch 7550/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9556 - val_binary_accuracy: 0.5460\n",
            "Epoch 7551/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9553 - val_binary_accuracy: 0.5470\n",
            "Epoch 7552/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9556 - val_binary_accuracy: 0.5460\n",
            "Epoch 7553/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9554 - val_binary_accuracy: 0.5470\n",
            "Epoch 7554/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9558 - val_binary_accuracy: 0.5460\n",
            "Epoch 7555/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9555 - val_binary_accuracy: 0.5470\n",
            "Epoch 7556/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9559 - val_binary_accuracy: 0.5460\n",
            "Epoch 7557/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9554 - val_binary_accuracy: 0.5470\n",
            "Epoch 7558/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9561 - val_binary_accuracy: 0.5460\n",
            "Epoch 7559/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9557 - val_binary_accuracy: 0.5470\n",
            "Epoch 7560/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5398 - binary_accuracy: 0.6708 - val_loss: 0.9562 - val_binary_accuracy: 0.5460\n",
            "Epoch 7561/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9559 - val_binary_accuracy: 0.5470\n",
            "Epoch 7562/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9563 - val_binary_accuracy: 0.5460\n",
            "Epoch 7563/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9561 - val_binary_accuracy: 0.5470\n",
            "Epoch 7564/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9564 - val_binary_accuracy: 0.5460\n",
            "Epoch 7565/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9562 - val_binary_accuracy: 0.5470\n",
            "Epoch 7566/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9566 - val_binary_accuracy: 0.5460\n",
            "Epoch 7567/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9562 - val_binary_accuracy: 0.5470\n",
            "Epoch 7568/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9566 - val_binary_accuracy: 0.5460\n",
            "Epoch 7569/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9561 - val_binary_accuracy: 0.5470\n",
            "Epoch 7570/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9568 - val_binary_accuracy: 0.5460\n",
            "Epoch 7571/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9564 - val_binary_accuracy: 0.5470\n",
            "Epoch 7572/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9569 - val_binary_accuracy: 0.5460\n",
            "Epoch 7573/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9566 - val_binary_accuracy: 0.5470\n",
            "Epoch 7574/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9570 - val_binary_accuracy: 0.5460\n",
            "Epoch 7575/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9567 - val_binary_accuracy: 0.5470\n",
            "Epoch 7576/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9571 - val_binary_accuracy: 0.5460\n",
            "Epoch 7577/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9569 - val_binary_accuracy: 0.5470\n",
            "Epoch 7578/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9573 - val_binary_accuracy: 0.5460\n",
            "Epoch 7579/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9570 - val_binary_accuracy: 0.5470\n",
            "Epoch 7580/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9575 - val_binary_accuracy: 0.5460\n",
            "Epoch 7581/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9569 - val_binary_accuracy: 0.5470\n",
            "Epoch 7582/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9576 - val_binary_accuracy: 0.5460\n",
            "Epoch 7583/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9572 - val_binary_accuracy: 0.5470\n",
            "Epoch 7584/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5397 - binary_accuracy: 0.6708 - val_loss: 0.9576 - val_binary_accuracy: 0.5460\n",
            "Epoch 7585/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9573 - val_binary_accuracy: 0.5470\n",
            "Epoch 7586/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9578 - val_binary_accuracy: 0.5460\n",
            "Epoch 7587/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9576 - val_binary_accuracy: 0.5470\n",
            "Epoch 7588/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9578 - val_binary_accuracy: 0.5460\n",
            "Epoch 7589/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9576 - val_binary_accuracy: 0.5470\n",
            "Epoch 7590/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9581 - val_binary_accuracy: 0.5460\n",
            "Epoch 7591/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9577 - val_binary_accuracy: 0.5470\n",
            "Epoch 7592/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9582 - val_binary_accuracy: 0.5460\n",
            "Epoch 7593/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9578 - val_binary_accuracy: 0.5470\n",
            "Epoch 7594/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9584 - val_binary_accuracy: 0.5460\n",
            "Epoch 7595/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9580 - val_binary_accuracy: 0.5470\n",
            "Epoch 7596/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9584 - val_binary_accuracy: 0.5460\n",
            "Epoch 7597/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9581 - val_binary_accuracy: 0.5470\n",
            "Epoch 7598/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9585 - val_binary_accuracy: 0.5460\n",
            "Epoch 7599/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9584 - val_binary_accuracy: 0.5470\n",
            "Epoch 7600/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9585 - val_binary_accuracy: 0.5460\n",
            "Epoch 7601/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9582 - val_binary_accuracy: 0.5470\n",
            "Epoch 7602/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9589 - val_binary_accuracy: 0.5460\n",
            "Epoch 7603/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9583 - val_binary_accuracy: 0.5470\n",
            "Epoch 7604/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9589 - val_binary_accuracy: 0.5460\n",
            "Epoch 7605/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9584 - val_binary_accuracy: 0.5470\n",
            "Epoch 7606/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9590 - val_binary_accuracy: 0.5460\n",
            "Epoch 7607/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5396 - binary_accuracy: 0.6708 - val_loss: 0.9586 - val_binary_accuracy: 0.5470\n",
            "Epoch 7608/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9590 - val_binary_accuracy: 0.5460\n",
            "Epoch 7609/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9589 - val_binary_accuracy: 0.5470\n",
            "Epoch 7610/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9592 - val_binary_accuracy: 0.5460\n",
            "Epoch 7611/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9590 - val_binary_accuracy: 0.5470\n",
            "Epoch 7612/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9593 - val_binary_accuracy: 0.5460\n",
            "Epoch 7613/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9591 - val_binary_accuracy: 0.5470\n",
            "Epoch 7614/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9595 - val_binary_accuracy: 0.5460\n",
            "Epoch 7615/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9590 - val_binary_accuracy: 0.5470\n",
            "Epoch 7616/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9597 - val_binary_accuracy: 0.5460\n",
            "Epoch 7617/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9591 - val_binary_accuracy: 0.5470\n",
            "Epoch 7618/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9598 - val_binary_accuracy: 0.5460\n",
            "Epoch 7619/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9594 - val_binary_accuracy: 0.5470\n",
            "Epoch 7620/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9598 - val_binary_accuracy: 0.5460\n",
            "Epoch 7621/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9595 - val_binary_accuracy: 0.5470\n",
            "Epoch 7622/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9599 - val_binary_accuracy: 0.5460\n",
            "Epoch 7623/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9598 - val_binary_accuracy: 0.5470\n",
            "Epoch 7624/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9601 - val_binary_accuracy: 0.5460\n",
            "Epoch 7625/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9598 - val_binary_accuracy: 0.5470\n",
            "Epoch 7626/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9603 - val_binary_accuracy: 0.5460\n",
            "Epoch 7627/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9598 - val_binary_accuracy: 0.5470\n",
            "Epoch 7628/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9603 - val_binary_accuracy: 0.5460\n",
            "Epoch 7629/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9598 - val_binary_accuracy: 0.5470\n",
            "Epoch 7630/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9605 - val_binary_accuracy: 0.5460\n",
            "Epoch 7631/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5395 - binary_accuracy: 0.6708 - val_loss: 0.9602 - val_binary_accuracy: 0.5470\n",
            "Epoch 7632/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9605 - val_binary_accuracy: 0.5460\n",
            "Epoch 7633/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9603 - val_binary_accuracy: 0.5470\n",
            "Epoch 7634/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9607 - val_binary_accuracy: 0.5460\n",
            "Epoch 7635/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9605 - val_binary_accuracy: 0.5470\n",
            "Epoch 7636/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9608 - val_binary_accuracy: 0.5460\n",
            "Epoch 7637/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9604 - val_binary_accuracy: 0.5470\n",
            "Epoch 7638/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9611 - val_binary_accuracy: 0.5460\n",
            "Epoch 7639/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9605 - val_binary_accuracy: 0.5470\n",
            "Epoch 7640/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9611 - val_binary_accuracy: 0.5460\n",
            "Epoch 7641/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9607 - val_binary_accuracy: 0.5470\n",
            "Epoch 7642/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9612 - val_binary_accuracy: 0.5460\n",
            "Epoch 7643/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9609 - val_binary_accuracy: 0.5470\n",
            "Epoch 7644/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9612 - val_binary_accuracy: 0.5460\n",
            "Epoch 7645/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9611 - val_binary_accuracy: 0.5470\n",
            "Epoch 7646/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9614 - val_binary_accuracy: 0.5460\n",
            "Epoch 7647/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9612 - val_binary_accuracy: 0.5470\n",
            "Epoch 7648/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9616 - val_binary_accuracy: 0.5460\n",
            "Epoch 7649/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9612 - val_binary_accuracy: 0.5470\n",
            "Epoch 7650/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9618 - val_binary_accuracy: 0.5460\n",
            "Epoch 7651/10000\n",
            "401/401 [==============================] - 0s 54us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9613 - val_binary_accuracy: 0.5470\n",
            "Epoch 7652/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9618 - val_binary_accuracy: 0.5460\n",
            "Epoch 7653/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9615 - val_binary_accuracy: 0.5470\n",
            "Epoch 7654/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5394 - binary_accuracy: 0.6708 - val_loss: 0.9619 - val_binary_accuracy: 0.5460\n",
            "Epoch 7655/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9617 - val_binary_accuracy: 0.5470\n",
            "Epoch 7656/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9620 - val_binary_accuracy: 0.5460\n",
            "Epoch 7657/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9618 - val_binary_accuracy: 0.5470\n",
            "Epoch 7658/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9622 - val_binary_accuracy: 0.5460\n",
            "Epoch 7659/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9619 - val_binary_accuracy: 0.5470\n",
            "Epoch 7660/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9623 - val_binary_accuracy: 0.5460\n",
            "Epoch 7661/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9619 - val_binary_accuracy: 0.5470\n",
            "Epoch 7662/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9625 - val_binary_accuracy: 0.5460\n",
            "Epoch 7663/10000\n",
            "401/401 [==============================] - 0s 53us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9620 - val_binary_accuracy: 0.5470\n",
            "Epoch 7664/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9625 - val_binary_accuracy: 0.5460\n",
            "Epoch 7665/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9621 - val_binary_accuracy: 0.5470\n",
            "Epoch 7666/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9627 - val_binary_accuracy: 0.5460\n",
            "Epoch 7667/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9624 - val_binary_accuracy: 0.5470\n",
            "Epoch 7668/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9627 - val_binary_accuracy: 0.5460\n",
            "Epoch 7669/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9626 - val_binary_accuracy: 0.5470\n",
            "Epoch 7670/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9629 - val_binary_accuracy: 0.5460\n",
            "Epoch 7671/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9626 - val_binary_accuracy: 0.5470\n",
            "Epoch 7672/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9631 - val_binary_accuracy: 0.5460\n",
            "Epoch 7673/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9626 - val_binary_accuracy: 0.5470\n",
            "Epoch 7674/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9632 - val_binary_accuracy: 0.5460\n",
            "Epoch 7675/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9628 - val_binary_accuracy: 0.5470\n",
            "Epoch 7676/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9632 - val_binary_accuracy: 0.5460\n",
            "Epoch 7677/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9629 - val_binary_accuracy: 0.5470\n",
            "Epoch 7678/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9634 - val_binary_accuracy: 0.5460\n",
            "Epoch 7679/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9632 - val_binary_accuracy: 0.5470\n",
            "Epoch 7680/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9634 - val_binary_accuracy: 0.5460\n",
            "Epoch 7681/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9632 - val_binary_accuracy: 0.5470\n",
            "Epoch 7682/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9637 - val_binary_accuracy: 0.5460\n",
            "Epoch 7683/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9632 - val_binary_accuracy: 0.5470\n",
            "Epoch 7684/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9638 - val_binary_accuracy: 0.5460\n",
            "Epoch 7685/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9633 - val_binary_accuracy: 0.5470\n",
            "Epoch 7686/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5393 - binary_accuracy: 0.6708 - val_loss: 0.9639 - val_binary_accuracy: 0.5460\n",
            "Epoch 7687/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9636 - val_binary_accuracy: 0.5470\n",
            "Epoch 7688/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9640 - val_binary_accuracy: 0.5460\n",
            "Epoch 7689/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9636 - val_binary_accuracy: 0.5470\n",
            "Epoch 7690/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9641 - val_binary_accuracy: 0.5460\n",
            "Epoch 7691/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9640 - val_binary_accuracy: 0.5470\n",
            "Epoch 7692/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9642 - val_binary_accuracy: 0.5460\n",
            "Epoch 7693/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9640 - val_binary_accuracy: 0.5470\n",
            "Epoch 7694/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9644 - val_binary_accuracy: 0.5460\n",
            "Epoch 7695/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9640 - val_binary_accuracy: 0.5470\n",
            "Epoch 7696/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9645 - val_binary_accuracy: 0.5460\n",
            "Epoch 7697/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9639 - val_binary_accuracy: 0.5470\n",
            "Epoch 7698/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9646 - val_binary_accuracy: 0.5460\n",
            "Epoch 7699/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9643 - val_binary_accuracy: 0.5470\n",
            "Epoch 7700/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9647 - val_binary_accuracy: 0.5460\n",
            "Epoch 7701/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9644 - val_binary_accuracy: 0.5470\n",
            "Epoch 7702/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9648 - val_binary_accuracy: 0.5460\n",
            "Epoch 7703/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9646 - val_binary_accuracy: 0.5470\n",
            "Epoch 7704/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9649 - val_binary_accuracy: 0.5460\n",
            "Epoch 7705/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9647 - val_binary_accuracy: 0.5470\n",
            "Epoch 7706/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9652 - val_binary_accuracy: 0.5460\n",
            "Epoch 7707/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9647 - val_binary_accuracy: 0.5470\n",
            "Epoch 7708/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9653 - val_binary_accuracy: 0.5460\n",
            "Epoch 7709/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9648 - val_binary_accuracy: 0.5470\n",
            "Epoch 7710/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5392 - binary_accuracy: 0.6708 - val_loss: 0.9654 - val_binary_accuracy: 0.5460\n",
            "Epoch 7711/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9650 - val_binary_accuracy: 0.5470\n",
            "Epoch 7712/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9654 - val_binary_accuracy: 0.5460\n",
            "Epoch 7713/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9652 - val_binary_accuracy: 0.5470\n",
            "Epoch 7714/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9656 - val_binary_accuracy: 0.5460\n",
            "Epoch 7715/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9654 - val_binary_accuracy: 0.5470\n",
            "Epoch 7716/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9657 - val_binary_accuracy: 0.5460\n",
            "Epoch 7717/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9655 - val_binary_accuracy: 0.5470\n",
            "Epoch 7718/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9659 - val_binary_accuracy: 0.5460\n",
            "Epoch 7719/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9654 - val_binary_accuracy: 0.5470\n",
            "Epoch 7720/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9660 - val_binary_accuracy: 0.5460\n",
            "Epoch 7721/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9655 - val_binary_accuracy: 0.5470\n",
            "Epoch 7722/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9661 - val_binary_accuracy: 0.5460\n",
            "Epoch 7723/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9658 - val_binary_accuracy: 0.5470\n",
            "Epoch 7724/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9661 - val_binary_accuracy: 0.5460\n",
            "Epoch 7725/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9659 - val_binary_accuracy: 0.5470\n",
            "Epoch 7726/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9663 - val_binary_accuracy: 0.5460\n",
            "Epoch 7727/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9662 - val_binary_accuracy: 0.5470\n",
            "Epoch 7728/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9664 - val_binary_accuracy: 0.5460\n",
            "Epoch 7729/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9661 - val_binary_accuracy: 0.5470\n",
            "Epoch 7730/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9667 - val_binary_accuracy: 0.5460\n",
            "Epoch 7731/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9662 - val_binary_accuracy: 0.5470\n",
            "Epoch 7732/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9666 - val_binary_accuracy: 0.5460\n",
            "Epoch 7733/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9662 - val_binary_accuracy: 0.5470\n",
            "Epoch 7734/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5391 - binary_accuracy: 0.6708 - val_loss: 0.9668 - val_binary_accuracy: 0.5460\n",
            "Epoch 7735/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9665 - val_binary_accuracy: 0.5470\n",
            "Epoch 7736/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9669 - val_binary_accuracy: 0.5460\n",
            "Epoch 7737/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9667 - val_binary_accuracy: 0.5470\n",
            "Epoch 7738/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9670 - val_binary_accuracy: 0.5460\n",
            "Epoch 7739/10000\n",
            "401/401 [==============================] - 0s 55us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9667 - val_binary_accuracy: 0.5470\n",
            "Epoch 7740/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9672 - val_binary_accuracy: 0.5460\n",
            "Epoch 7741/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9667 - val_binary_accuracy: 0.5470\n",
            "Epoch 7742/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9673 - val_binary_accuracy: 0.5460\n",
            "Epoch 7743/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9669 - val_binary_accuracy: 0.5470\n",
            "Epoch 7744/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9674 - val_binary_accuracy: 0.5460\n",
            "Epoch 7745/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9671 - val_binary_accuracy: 0.5470\n",
            "Epoch 7746/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9675 - val_binary_accuracy: 0.5460\n",
            "Epoch 7747/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9673 - val_binary_accuracy: 0.5470\n",
            "Epoch 7748/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9676 - val_binary_accuracy: 0.5460\n",
            "Epoch 7749/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9674 - val_binary_accuracy: 0.5470\n",
            "Epoch 7750/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9678 - val_binary_accuracy: 0.5460\n",
            "Epoch 7751/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9674 - val_binary_accuracy: 0.5470\n",
            "Epoch 7752/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9680 - val_binary_accuracy: 0.5460\n",
            "Epoch 7753/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9674 - val_binary_accuracy: 0.5470\n",
            "Epoch 7754/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9680 - val_binary_accuracy: 0.5460\n",
            "Epoch 7755/10000\n",
            "401/401 [==============================] - 0s 51us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9677 - val_binary_accuracy: 0.5470\n",
            "Epoch 7756/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9680 - val_binary_accuracy: 0.5460\n",
            "Epoch 7757/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9678 - val_binary_accuracy: 0.5470\n",
            "Epoch 7758/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9682 - val_binary_accuracy: 0.5460\n",
            "Epoch 7759/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9680 - val_binary_accuracy: 0.5470\n",
            "Epoch 7760/10000\n",
            "401/401 [==============================] - 0s 57us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9684 - val_binary_accuracy: 0.5460\n",
            "Epoch 7761/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9681 - val_binary_accuracy: 0.5470\n",
            "Epoch 7762/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9686 - val_binary_accuracy: 0.5460\n",
            "Epoch 7763/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9681 - val_binary_accuracy: 0.5470\n",
            "Epoch 7764/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9687 - val_binary_accuracy: 0.5460\n",
            "Epoch 7765/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9682 - val_binary_accuracy: 0.5470\n",
            "Epoch 7766/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5390 - binary_accuracy: 0.6708 - val_loss: 0.9687 - val_binary_accuracy: 0.5460\n",
            "Epoch 7767/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9685 - val_binary_accuracy: 0.5470\n",
            "Epoch 7768/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9688 - val_binary_accuracy: 0.5460\n",
            "Epoch 7769/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9686 - val_binary_accuracy: 0.5470\n",
            "Epoch 7770/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9690 - val_binary_accuracy: 0.5460\n",
            "Epoch 7771/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9687 - val_binary_accuracy: 0.5470\n",
            "Epoch 7772/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9691 - val_binary_accuracy: 0.5460\n",
            "Epoch 7773/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9687 - val_binary_accuracy: 0.5470\n",
            "Epoch 7774/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9694 - val_binary_accuracy: 0.5460\n",
            "Epoch 7775/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9688 - val_binary_accuracy: 0.5470\n",
            "Epoch 7776/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9693 - val_binary_accuracy: 0.5460\n",
            "Epoch 7777/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9688 - val_binary_accuracy: 0.5470\n",
            "Epoch 7778/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9694 - val_binary_accuracy: 0.5460\n",
            "Epoch 7779/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9692 - val_binary_accuracy: 0.5470\n",
            "Epoch 7780/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9695 - val_binary_accuracy: 0.5460\n",
            "Epoch 7781/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9693 - val_binary_accuracy: 0.5470\n",
            "Epoch 7782/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9697 - val_binary_accuracy: 0.5460\n",
            "Epoch 7783/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9694 - val_binary_accuracy: 0.5470\n",
            "Epoch 7784/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9698 - val_binary_accuracy: 0.5460\n",
            "Epoch 7785/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9694 - val_binary_accuracy: 0.5470\n",
            "Epoch 7786/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9700 - val_binary_accuracy: 0.5460\n",
            "Epoch 7787/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9695 - val_binary_accuracy: 0.5470\n",
            "Epoch 7788/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5389 - binary_accuracy: 0.6708 - val_loss: 0.9700 - val_binary_accuracy: 0.5460\n",
            "Epoch 7789/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9697 - val_binary_accuracy: 0.5470\n",
            "Epoch 7790/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9701 - val_binary_accuracy: 0.5460\n",
            "Epoch 7791/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9699 - val_binary_accuracy: 0.5470\n",
            "Epoch 7792/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9702 - val_binary_accuracy: 0.5460\n",
            "Epoch 7793/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9701 - val_binary_accuracy: 0.5470\n",
            "Epoch 7794/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9704 - val_binary_accuracy: 0.5460\n",
            "Epoch 7795/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9701 - val_binary_accuracy: 0.5470\n",
            "Epoch 7796/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9706 - val_binary_accuracy: 0.5460\n",
            "Epoch 7797/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9700 - val_binary_accuracy: 0.5470\n",
            "Epoch 7798/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9707 - val_binary_accuracy: 0.5460\n",
            "Epoch 7799/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9702 - val_binary_accuracy: 0.5470\n",
            "Epoch 7800/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9707 - val_binary_accuracy: 0.5460\n",
            "Epoch 7801/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9705 - val_binary_accuracy: 0.5470\n",
            "Epoch 7802/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9709 - val_binary_accuracy: 0.5460\n",
            "Epoch 7803/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9706 - val_binary_accuracy: 0.5470\n",
            "Epoch 7804/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9710 - val_binary_accuracy: 0.5460\n",
            "Epoch 7805/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9708 - val_binary_accuracy: 0.5470\n",
            "Epoch 7806/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9712 - val_binary_accuracy: 0.5460\n",
            "Epoch 7807/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9708 - val_binary_accuracy: 0.5470\n",
            "Epoch 7808/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9713 - val_binary_accuracy: 0.5460\n",
            "Epoch 7809/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9707 - val_binary_accuracy: 0.5450\n",
            "Epoch 7810/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9714 - val_binary_accuracy: 0.5460\n",
            "Epoch 7811/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9710 - val_binary_accuracy: 0.5470\n",
            "Epoch 7812/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9714 - val_binary_accuracy: 0.5460\n",
            "Epoch 7813/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9712 - val_binary_accuracy: 0.5470\n",
            "Epoch 7814/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9716 - val_binary_accuracy: 0.5460\n",
            "Epoch 7815/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9713 - val_binary_accuracy: 0.5470\n",
            "Epoch 7816/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9717 - val_binary_accuracy: 0.5460\n",
            "Epoch 7817/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9714 - val_binary_accuracy: 0.5470\n",
            "Epoch 7818/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9719 - val_binary_accuracy: 0.5460\n",
            "Epoch 7819/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9714 - val_binary_accuracy: 0.5470\n",
            "Epoch 7820/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5388 - binary_accuracy: 0.6708 - val_loss: 0.9720 - val_binary_accuracy: 0.5460\n",
            "Epoch 7821/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9715 - val_binary_accuracy: 0.5470\n",
            "Epoch 7822/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9721 - val_binary_accuracy: 0.5460\n",
            "Epoch 7823/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9717 - val_binary_accuracy: 0.5470\n",
            "Epoch 7824/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9721 - val_binary_accuracy: 0.5460\n",
            "Epoch 7825/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9719 - val_binary_accuracy: 0.5470\n",
            "Epoch 7826/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9723 - val_binary_accuracy: 0.5460\n",
            "Epoch 7827/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9721 - val_binary_accuracy: 0.5470\n",
            "Epoch 7828/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9724 - val_binary_accuracy: 0.5460\n",
            "Epoch 7829/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9721 - val_binary_accuracy: 0.5470\n",
            "Epoch 7830/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9726 - val_binary_accuracy: 0.5460\n",
            "Epoch 7831/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9722 - val_binary_accuracy: 0.5470\n",
            "Epoch 7832/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9727 - val_binary_accuracy: 0.5460\n",
            "Epoch 7833/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9723 - val_binary_accuracy: 0.5470\n",
            "Epoch 7834/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9728 - val_binary_accuracy: 0.5460\n",
            "Epoch 7835/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9725 - val_binary_accuracy: 0.5470\n",
            "Epoch 7836/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9729 - val_binary_accuracy: 0.5460\n",
            "Epoch 7837/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9727 - val_binary_accuracy: 0.5470\n",
            "Epoch 7838/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9731 - val_binary_accuracy: 0.5460\n",
            "Epoch 7839/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9728 - val_binary_accuracy: 0.5470\n",
            "Epoch 7840/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9732 - val_binary_accuracy: 0.5460\n",
            "Epoch 7841/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9728 - val_binary_accuracy: 0.5470\n",
            "Epoch 7842/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9734 - val_binary_accuracy: 0.5460\n",
            "Epoch 7843/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9729 - val_binary_accuracy: 0.5470\n",
            "Epoch 7844/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5387 - binary_accuracy: 0.6708 - val_loss: 0.9733 - val_binary_accuracy: 0.5460\n",
            "Epoch 7845/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9730 - val_binary_accuracy: 0.5470\n",
            "Epoch 7846/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9735 - val_binary_accuracy: 0.5460\n",
            "Epoch 7847/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9733 - val_binary_accuracy: 0.5470\n",
            "Epoch 7848/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9736 - val_binary_accuracy: 0.5460\n",
            "Epoch 7849/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9734 - val_binary_accuracy: 0.5470\n",
            "Epoch 7850/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9739 - val_binary_accuracy: 0.5460\n",
            "Epoch 7851/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9734 - val_binary_accuracy: 0.5470\n",
            "Epoch 7852/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9740 - val_binary_accuracy: 0.5460\n",
            "Epoch 7853/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9734 - val_binary_accuracy: 0.5450\n",
            "Epoch 7854/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9740 - val_binary_accuracy: 0.5460\n",
            "Epoch 7855/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9737 - val_binary_accuracy: 0.5470\n",
            "Epoch 7856/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9740 - val_binary_accuracy: 0.5460\n",
            "Epoch 7857/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9738 - val_binary_accuracy: 0.5470\n",
            "Epoch 7858/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9742 - val_binary_accuracy: 0.5460\n",
            "Epoch 7859/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9740 - val_binary_accuracy: 0.5470\n",
            "Epoch 7860/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9743 - val_binary_accuracy: 0.5460\n",
            "Epoch 7861/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9741 - val_binary_accuracy: 0.5470\n",
            "Epoch 7862/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9746 - val_binary_accuracy: 0.5460\n",
            "Epoch 7863/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9741 - val_binary_accuracy: 0.5470\n",
            "Epoch 7864/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9747 - val_binary_accuracy: 0.5460\n",
            "Epoch 7865/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9741 - val_binary_accuracy: 0.5450\n",
            "Epoch 7866/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9747 - val_binary_accuracy: 0.5460\n",
            "Epoch 7867/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9744 - val_binary_accuracy: 0.5470\n",
            "Epoch 7868/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9747 - val_binary_accuracy: 0.5460\n",
            "Epoch 7869/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9745 - val_binary_accuracy: 0.5470\n",
            "Epoch 7870/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9749 - val_binary_accuracy: 0.5460\n",
            "Epoch 7871/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9748 - val_binary_accuracy: 0.5470\n",
            "Epoch 7872/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9750 - val_binary_accuracy: 0.5460\n",
            "Epoch 7873/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9747 - val_binary_accuracy: 0.5470\n",
            "Epoch 7874/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9753 - val_binary_accuracy: 0.5460\n",
            "Epoch 7875/10000\n",
            "401/401 [==============================] - 0s 53us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9748 - val_binary_accuracy: 0.5450\n",
            "Epoch 7876/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9754 - val_binary_accuracy: 0.5460\n",
            "Epoch 7877/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9748 - val_binary_accuracy: 0.5450\n",
            "Epoch 7878/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5386 - binary_accuracy: 0.6708 - val_loss: 0.9754 - val_binary_accuracy: 0.5460\n",
            "Epoch 7879/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9751 - val_binary_accuracy: 0.5470\n",
            "Epoch 7880/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9754 - val_binary_accuracy: 0.5460\n",
            "Epoch 7881/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9753 - val_binary_accuracy: 0.5470\n",
            "Epoch 7882/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9757 - val_binary_accuracy: 0.5460\n",
            "Epoch 7883/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9753 - val_binary_accuracy: 0.5470\n",
            "Epoch 7884/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9758 - val_binary_accuracy: 0.5460\n",
            "Epoch 7885/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9754 - val_binary_accuracy: 0.5470\n",
            "Epoch 7886/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9760 - val_binary_accuracy: 0.5460\n",
            "Epoch 7887/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9755 - val_binary_accuracy: 0.5450\n",
            "Epoch 7888/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9759 - val_binary_accuracy: 0.5460\n",
            "Epoch 7889/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9754 - val_binary_accuracy: 0.5470\n",
            "Epoch 7890/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9761 - val_binary_accuracy: 0.5460\n",
            "Epoch 7891/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9757 - val_binary_accuracy: 0.5470\n",
            "Epoch 7892/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9761 - val_binary_accuracy: 0.5460\n",
            "Epoch 7893/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9759 - val_binary_accuracy: 0.5470\n",
            "Epoch 7894/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9762 - val_binary_accuracy: 0.5460\n",
            "Epoch 7895/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9760 - val_binary_accuracy: 0.5470\n",
            "Epoch 7896/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9765 - val_binary_accuracy: 0.5460\n",
            "Epoch 7897/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9761 - val_binary_accuracy: 0.5470\n",
            "Epoch 7898/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9766 - val_binary_accuracy: 0.5460\n",
            "Epoch 7899/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9760 - val_binary_accuracy: 0.5430\n",
            "Epoch 7900/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9767 - val_binary_accuracy: 0.5460\n",
            "Epoch 7901/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9763 - val_binary_accuracy: 0.5470\n",
            "Epoch 7902/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5385 - binary_accuracy: 0.6708 - val_loss: 0.9767 - val_binary_accuracy: 0.5460\n",
            "Epoch 7903/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9764 - val_binary_accuracy: 0.5470\n",
            "Epoch 7904/10000\n",
            "401/401 [==============================] - 0s 31us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9768 - val_binary_accuracy: 0.5460\n",
            "Epoch 7905/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9766 - val_binary_accuracy: 0.5470\n",
            "Epoch 7906/10000\n",
            "401/401 [==============================] - 0s 31us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9769 - val_binary_accuracy: 0.5460\n",
            "Epoch 7907/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9766 - val_binary_accuracy: 0.5470\n",
            "Epoch 7908/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9772 - val_binary_accuracy: 0.5460\n",
            "Epoch 7909/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9767 - val_binary_accuracy: 0.5450\n",
            "Epoch 7910/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9773 - val_binary_accuracy: 0.5460\n",
            "Epoch 7911/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9768 - val_binary_accuracy: 0.5450\n",
            "Epoch 7912/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9773 - val_binary_accuracy: 0.5460\n",
            "Epoch 7913/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9770 - val_binary_accuracy: 0.5470\n",
            "Epoch 7914/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9774 - val_binary_accuracy: 0.5460\n",
            "Epoch 7915/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9771 - val_binary_accuracy: 0.5470\n",
            "Epoch 7916/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9775 - val_binary_accuracy: 0.5460\n",
            "Epoch 7917/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9773 - val_binary_accuracy: 0.5470\n",
            "Epoch 7918/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9777 - val_binary_accuracy: 0.5460\n",
            "Epoch 7919/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9772 - val_binary_accuracy: 0.5450\n",
            "Epoch 7920/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9779 - val_binary_accuracy: 0.5460\n",
            "Epoch 7921/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9774 - val_binary_accuracy: 0.5430\n",
            "Epoch 7922/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9779 - val_binary_accuracy: 0.5460\n",
            "Epoch 7923/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9775 - val_binary_accuracy: 0.5450\n",
            "Epoch 7924/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9780 - val_binary_accuracy: 0.5460\n",
            "Epoch 7925/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9777 - val_binary_accuracy: 0.5450\n",
            "Epoch 7926/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9780 - val_binary_accuracy: 0.5460\n",
            "Epoch 7927/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9778 - val_binary_accuracy: 0.5450\n",
            "Epoch 7928/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9782 - val_binary_accuracy: 0.5460\n",
            "Epoch 7929/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9779 - val_binary_accuracy: 0.5450\n",
            "Epoch 7930/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9784 - val_binary_accuracy: 0.5460\n",
            "Epoch 7931/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9779 - val_binary_accuracy: 0.5430\n",
            "Epoch 7932/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9785 - val_binary_accuracy: 0.5460\n",
            "Epoch 7933/10000\n",
            "401/401 [==============================] - 0s 59us/step - loss: 0.5384 - binary_accuracy: 0.6708 - val_loss: 0.9781 - val_binary_accuracy: 0.5450\n",
            "Epoch 7934/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9784 - val_binary_accuracy: 0.5460\n",
            "Epoch 7935/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9782 - val_binary_accuracy: 0.5450\n",
            "Epoch 7936/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9786 - val_binary_accuracy: 0.5460\n",
            "Epoch 7937/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9784 - val_binary_accuracy: 0.5450\n",
            "Epoch 7938/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9788 - val_binary_accuracy: 0.5460\n",
            "Epoch 7939/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9785 - val_binary_accuracy: 0.5450\n",
            "Epoch 7940/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9790 - val_binary_accuracy: 0.5460\n",
            "Epoch 7941/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9785 - val_binary_accuracy: 0.5430\n",
            "Epoch 7942/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9791 - val_binary_accuracy: 0.5460\n",
            "Epoch 7943/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9785 - val_binary_accuracy: 0.5430\n",
            "Epoch 7944/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9792 - val_binary_accuracy: 0.5460\n",
            "Epoch 7945/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9788 - val_binary_accuracy: 0.5450\n",
            "Epoch 7946/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9792 - val_binary_accuracy: 0.5460\n",
            "Epoch 7947/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9789 - val_binary_accuracy: 0.5450\n",
            "Epoch 7948/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9793 - val_binary_accuracy: 0.5460\n",
            "Epoch 7949/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9791 - val_binary_accuracy: 0.5450\n",
            "Epoch 7950/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9794 - val_binary_accuracy: 0.5460\n",
            "Epoch 7951/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9791 - val_binary_accuracy: 0.5450\n",
            "Epoch 7952/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9797 - val_binary_accuracy: 0.5460\n",
            "Epoch 7953/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9792 - val_binary_accuracy: 0.5430\n",
            "Epoch 7954/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9798 - val_binary_accuracy: 0.5460\n",
            "Epoch 7955/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9793 - val_binary_accuracy: 0.5430\n",
            "Epoch 7956/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9799 - val_binary_accuracy: 0.5460\n",
            "Epoch 7957/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9795 - val_binary_accuracy: 0.5450\n",
            "Epoch 7958/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9799 - val_binary_accuracy: 0.5460\n",
            "Epoch 7959/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9796 - val_binary_accuracy: 0.5450\n",
            "Epoch 7960/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9801 - val_binary_accuracy: 0.5460\n",
            "Epoch 7961/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9798 - val_binary_accuracy: 0.5450\n",
            "Epoch 7962/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9801 - val_binary_accuracy: 0.5460\n",
            "Epoch 7963/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9797 - val_binary_accuracy: 0.5450\n",
            "Epoch 7964/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9804 - val_binary_accuracy: 0.5460\n",
            "Epoch 7965/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9799 - val_binary_accuracy: 0.5430\n",
            "Epoch 7966/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5383 - binary_accuracy: 0.6708 - val_loss: 0.9804 - val_binary_accuracy: 0.5460\n",
            "Epoch 7967/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9800 - val_binary_accuracy: 0.5450\n",
            "Epoch 7968/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9805 - val_binary_accuracy: 0.5460\n",
            "Epoch 7969/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9802 - val_binary_accuracy: 0.5450\n",
            "Epoch 7970/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9806 - val_binary_accuracy: 0.5460\n",
            "Epoch 7971/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9803 - val_binary_accuracy: 0.5450\n",
            "Epoch 7972/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9808 - val_binary_accuracy: 0.5460\n",
            "Epoch 7973/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9804 - val_binary_accuracy: 0.5450\n",
            "Epoch 7974/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9809 - val_binary_accuracy: 0.5460\n",
            "Epoch 7975/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9804 - val_binary_accuracy: 0.5430\n",
            "Epoch 7976/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9811 - val_binary_accuracy: 0.5460\n",
            "Epoch 7977/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9806 - val_binary_accuracy: 0.5450\n",
            "Epoch 7978/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9811 - val_binary_accuracy: 0.5460\n",
            "Epoch 7979/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9807 - val_binary_accuracy: 0.5450\n",
            "Epoch 7980/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9812 - val_binary_accuracy: 0.5460\n",
            "Epoch 7981/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9810 - val_binary_accuracy: 0.5450\n",
            "Epoch 7982/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9812 - val_binary_accuracy: 0.5460\n",
            "Epoch 7983/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9809 - val_binary_accuracy: 0.5450\n",
            "Epoch 7984/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9815 - val_binary_accuracy: 0.5460\n",
            "Epoch 7985/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9810 - val_binary_accuracy: 0.5450\n",
            "Epoch 7986/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9815 - val_binary_accuracy: 0.5460\n",
            "Epoch 7987/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9811 - val_binary_accuracy: 0.5430\n",
            "Epoch 7988/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9817 - val_binary_accuracy: 0.5460\n",
            "Epoch 7989/10000\n",
            "401/401 [==============================] - 0s 58us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9813 - val_binary_accuracy: 0.5450\n",
            "Epoch 7990/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5382 - binary_accuracy: 0.6708 - val_loss: 0.9817 - val_binary_accuracy: 0.5440\n",
            "Epoch 7991/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9814 - val_binary_accuracy: 0.5450\n",
            "Epoch 7992/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9818 - val_binary_accuracy: 0.5440\n",
            "Epoch 7993/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9816 - val_binary_accuracy: 0.5450\n",
            "Epoch 7994/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9820 - val_binary_accuracy: 0.5440\n",
            "Epoch 7995/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9816 - val_binary_accuracy: 0.5450\n",
            "Epoch 7996/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9821 - val_binary_accuracy: 0.5460\n",
            "Epoch 7997/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9816 - val_binary_accuracy: 0.5430\n",
            "Epoch 7998/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9823 - val_binary_accuracy: 0.5460\n",
            "Epoch 7999/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9819 - val_binary_accuracy: 0.5450\n",
            "Epoch 8000/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9823 - val_binary_accuracy: 0.5440\n",
            "Epoch 8001/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9819 - val_binary_accuracy: 0.5450\n",
            "Epoch 8002/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9824 - val_binary_accuracy: 0.5440\n",
            "Epoch 8003/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9822 - val_binary_accuracy: 0.5450\n",
            "Epoch 8004/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9825 - val_binary_accuracy: 0.5440\n",
            "Epoch 8005/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9822 - val_binary_accuracy: 0.5450\n",
            "Epoch 8006/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9827 - val_binary_accuracy: 0.5440\n",
            "Epoch 8007/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9823 - val_binary_accuracy: 0.5420\n",
            "Epoch 8008/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9828 - val_binary_accuracy: 0.5440\n",
            "Epoch 8009/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9823 - val_binary_accuracy: 0.5420\n",
            "Epoch 8010/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9830 - val_binary_accuracy: 0.5440\n",
            "Epoch 8011/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9826 - val_binary_accuracy: 0.5450\n",
            "Epoch 8012/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9830 - val_binary_accuracy: 0.5440\n",
            "Epoch 8013/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9826 - val_binary_accuracy: 0.5450\n",
            "Epoch 8014/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9831 - val_binary_accuracy: 0.5440\n",
            "Epoch 8015/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9829 - val_binary_accuracy: 0.5450\n",
            "Epoch 8016/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9832 - val_binary_accuracy: 0.5440\n",
            "Epoch 8017/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9829 - val_binary_accuracy: 0.5450\n",
            "Epoch 8018/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9834 - val_binary_accuracy: 0.5440\n",
            "Epoch 8019/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9830 - val_binary_accuracy: 0.5410\n",
            "Epoch 8020/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9835 - val_binary_accuracy: 0.5440\n",
            "Epoch 8021/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9831 - val_binary_accuracy: 0.5420\n",
            "Epoch 8022/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9836 - val_binary_accuracy: 0.5440\n",
            "Epoch 8023/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5381 - binary_accuracy: 0.6708 - val_loss: 0.9832 - val_binary_accuracy: 0.5440\n",
            "Epoch 8024/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9836 - val_binary_accuracy: 0.5440\n",
            "Epoch 8025/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9834 - val_binary_accuracy: 0.5440\n",
            "Epoch 8026/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9839 - val_binary_accuracy: 0.5440\n",
            "Epoch 8027/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9835 - val_binary_accuracy: 0.5440\n",
            "Epoch 8028/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9838 - val_binary_accuracy: 0.5440\n",
            "Epoch 8029/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9834 - val_binary_accuracy: 0.5440\n",
            "Epoch 8030/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9841 - val_binary_accuracy: 0.5440\n",
            "Epoch 8031/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9836 - val_binary_accuracy: 0.5420\n",
            "Epoch 8032/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9842 - val_binary_accuracy: 0.5440\n",
            "Epoch 8033/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9836 - val_binary_accuracy: 0.5420\n",
            "Epoch 8034/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9842 - val_binary_accuracy: 0.5440\n",
            "Epoch 8035/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9839 - val_binary_accuracy: 0.5450\n",
            "Epoch 8036/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9843 - val_binary_accuracy: 0.5440\n",
            "Epoch 8037/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9841 - val_binary_accuracy: 0.5450\n",
            "Epoch 8038/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9845 - val_binary_accuracy: 0.5440\n",
            "Epoch 8039/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9843 - val_binary_accuracy: 0.5450\n",
            "Epoch 8040/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9846 - val_binary_accuracy: 0.5440\n",
            "Epoch 8041/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9842 - val_binary_accuracy: 0.5440\n",
            "Epoch 8042/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9848 - val_binary_accuracy: 0.5440\n",
            "Epoch 8043/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9843 - val_binary_accuracy: 0.5420\n",
            "Epoch 8044/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9849 - val_binary_accuracy: 0.5440\n",
            "Epoch 8045/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9844 - val_binary_accuracy: 0.5420\n",
            "Epoch 8046/10000\n",
            "401/401 [==============================] - 0s 56us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9849 - val_binary_accuracy: 0.5440\n",
            "Epoch 8047/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9846 - val_binary_accuracy: 0.5450\n",
            "Epoch 8048/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9850 - val_binary_accuracy: 0.5440\n",
            "Epoch 8049/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9848 - val_binary_accuracy: 0.5450\n",
            "Epoch 8050/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9852 - val_binary_accuracy: 0.5440\n",
            "Epoch 8051/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9849 - val_binary_accuracy: 0.5450\n",
            "Epoch 8052/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9853 - val_binary_accuracy: 0.5440\n",
            "Epoch 8053/10000\n",
            "401/401 [==============================] - 0s 57us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9849 - val_binary_accuracy: 0.5420\n",
            "Epoch 8054/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9855 - val_binary_accuracy: 0.5440\n",
            "Epoch 8055/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9850 - val_binary_accuracy: 0.5420\n",
            "Epoch 8056/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9855 - val_binary_accuracy: 0.5440\n",
            "Epoch 8057/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5380 - binary_accuracy: 0.6708 - val_loss: 0.9851 - val_binary_accuracy: 0.5440\n",
            "Epoch 8058/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9856 - val_binary_accuracy: 0.5440\n",
            "Epoch 8059/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9854 - val_binary_accuracy: 0.5450\n",
            "Epoch 8060/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9857 - val_binary_accuracy: 0.5440\n",
            "Epoch 8061/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9854 - val_binary_accuracy: 0.5450\n",
            "Epoch 8062/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9858 - val_binary_accuracy: 0.5440\n",
            "Epoch 8063/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9855 - val_binary_accuracy: 0.5440\n",
            "Epoch 8064/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9860 - val_binary_accuracy: 0.5440\n",
            "Epoch 8065/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9855 - val_binary_accuracy: 0.5420\n",
            "Epoch 8066/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9861 - val_binary_accuracy: 0.5440\n",
            "Epoch 8067/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9857 - val_binary_accuracy: 0.5420\n",
            "Epoch 8068/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9862 - val_binary_accuracy: 0.5440\n",
            "Epoch 8069/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9858 - val_binary_accuracy: 0.5440\n",
            "Epoch 8070/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9863 - val_binary_accuracy: 0.5450\n",
            "Epoch 8071/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9861 - val_binary_accuracy: 0.5450\n",
            "Epoch 8072/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9864 - val_binary_accuracy: 0.5450\n",
            "Epoch 8073/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9861 - val_binary_accuracy: 0.5440\n",
            "Epoch 8074/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9866 - val_binary_accuracy: 0.5450\n",
            "Epoch 8075/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9862 - val_binary_accuracy: 0.5420\n",
            "Epoch 8076/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9867 - val_binary_accuracy: 0.5450\n",
            "Epoch 8077/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9862 - val_binary_accuracy: 0.5420\n",
            "Epoch 8078/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9868 - val_binary_accuracy: 0.5430\n",
            "Epoch 8079/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9864 - val_binary_accuracy: 0.5420\n",
            "Epoch 8080/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9868 - val_binary_accuracy: 0.5450\n",
            "Epoch 8081/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9866 - val_binary_accuracy: 0.5450\n",
            "Epoch 8082/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9870 - val_binary_accuracy: 0.5450\n",
            "Epoch 8083/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9868 - val_binary_accuracy: 0.5450\n",
            "Epoch 8084/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9869 - val_binary_accuracy: 0.5450\n",
            "Epoch 8085/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9867 - val_binary_accuracy: 0.5440\n",
            "Epoch 8086/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9873 - val_binary_accuracy: 0.5450\n",
            "Epoch 8087/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9868 - val_binary_accuracy: 0.5420\n",
            "Epoch 8088/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9874 - val_binary_accuracy: 0.5430\n",
            "Epoch 8089/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9869 - val_binary_accuracy: 0.5420\n",
            "Epoch 8090/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5379 - binary_accuracy: 0.6708 - val_loss: 0.9874 - val_binary_accuracy: 0.5450\n",
            "Epoch 8091/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9871 - val_binary_accuracy: 0.5440\n",
            "Epoch 8092/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9875 - val_binary_accuracy: 0.5450\n",
            "Epoch 8093/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9873 - val_binary_accuracy: 0.5440\n",
            "Epoch 8094/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9876 - val_binary_accuracy: 0.5450\n",
            "Epoch 8095/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9874 - val_binary_accuracy: 0.5440\n",
            "Epoch 8096/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9878 - val_binary_accuracy: 0.5450\n",
            "Epoch 8097/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9874 - val_binary_accuracy: 0.5420\n",
            "Epoch 8098/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9880 - val_binary_accuracy: 0.5430\n",
            "Epoch 8099/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9874 - val_binary_accuracy: 0.5420\n",
            "Epoch 8100/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9880 - val_binary_accuracy: 0.5430\n",
            "Epoch 8101/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9876 - val_binary_accuracy: 0.5420\n",
            "Epoch 8102/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9881 - val_binary_accuracy: 0.5450\n",
            "Epoch 8103/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9878 - val_binary_accuracy: 0.5440\n",
            "Epoch 8104/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9882 - val_binary_accuracy: 0.5440\n",
            "Epoch 8105/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9880 - val_binary_accuracy: 0.5440\n",
            "Epoch 8106/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9883 - val_binary_accuracy: 0.5440\n",
            "Epoch 8107/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9881 - val_binary_accuracy: 0.5440\n",
            "Epoch 8108/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9885 - val_binary_accuracy: 0.5450\n",
            "Epoch 8109/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9880 - val_binary_accuracy: 0.5420\n",
            "Epoch 8110/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9886 - val_binary_accuracy: 0.5430\n",
            "Epoch 8111/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9881 - val_binary_accuracy: 0.5420\n",
            "Epoch 8112/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9887 - val_binary_accuracy: 0.5430\n",
            "Epoch 8113/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9883 - val_binary_accuracy: 0.5440\n",
            "Epoch 8114/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9888 - val_binary_accuracy: 0.5440\n",
            "Epoch 8115/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9885 - val_binary_accuracy: 0.5440\n",
            "Epoch 8116/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9888 - val_binary_accuracy: 0.5440\n",
            "Epoch 8117/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9886 - val_binary_accuracy: 0.5440\n",
            "Epoch 8118/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9890 - val_binary_accuracy: 0.5440\n",
            "Epoch 8119/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9887 - val_binary_accuracy: 0.5440\n",
            "Epoch 8120/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9892 - val_binary_accuracy: 0.5430\n",
            "Epoch 8121/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9887 - val_binary_accuracy: 0.5420\n",
            "Epoch 8122/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9893 - val_binary_accuracy: 0.5430\n",
            "Epoch 8123/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9889 - val_binary_accuracy: 0.5420\n",
            "Epoch 8124/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9893 - val_binary_accuracy: 0.5420\n",
            "Epoch 8125/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9890 - val_binary_accuracy: 0.5440\n",
            "Epoch 8126/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9895 - val_binary_accuracy: 0.5440\n",
            "Epoch 8127/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9893 - val_binary_accuracy: 0.5440\n",
            "Epoch 8128/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9895 - val_binary_accuracy: 0.5440\n",
            "Epoch 8129/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9893 - val_binary_accuracy: 0.5440\n",
            "Epoch 8130/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9899 - val_binary_accuracy: 0.5440\n",
            "Epoch 8131/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9894 - val_binary_accuracy: 0.5420\n",
            "Epoch 8132/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9899 - val_binary_accuracy: 0.5430\n",
            "Epoch 8133/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9893 - val_binary_accuracy: 0.5420\n",
            "Epoch 8134/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5378 - binary_accuracy: 0.6708 - val_loss: 0.9900 - val_binary_accuracy: 0.5430\n",
            "Epoch 8135/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9895 - val_binary_accuracy: 0.5420\n",
            "Epoch 8136/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9899 - val_binary_accuracy: 0.5440\n",
            "Epoch 8137/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9897 - val_binary_accuracy: 0.5440\n",
            "Epoch 8138/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9901 - val_binary_accuracy: 0.5440\n",
            "Epoch 8139/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9899 - val_binary_accuracy: 0.5440\n",
            "Epoch 8140/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9902 - val_binary_accuracy: 0.5440\n",
            "Epoch 8141/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9899 - val_binary_accuracy: 0.5440\n",
            "Epoch 8142/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9905 - val_binary_accuracy: 0.5420\n",
            "Epoch 8143/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9900 - val_binary_accuracy: 0.5420\n",
            "Epoch 8144/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9906 - val_binary_accuracy: 0.5430\n",
            "Epoch 8145/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9899 - val_binary_accuracy: 0.5420\n",
            "Epoch 8146/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9907 - val_binary_accuracy: 0.5420\n",
            "Epoch 8147/10000\n",
            "401/401 [==============================] - 0s 31us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9903 - val_binary_accuracy: 0.5420\n",
            "Epoch 8148/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9905 - val_binary_accuracy: 0.5440\n",
            "Epoch 8149/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9903 - val_binary_accuracy: 0.5440\n",
            "Epoch 8150/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9907 - val_binary_accuracy: 0.5440\n",
            "Epoch 8151/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9905 - val_binary_accuracy: 0.5440\n",
            "Epoch 8152/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9909 - val_binary_accuracy: 0.5440\n",
            "Epoch 8153/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9906 - val_binary_accuracy: 0.5440\n",
            "Epoch 8154/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9910 - val_binary_accuracy: 0.5420\n",
            "Epoch 8155/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9905 - val_binary_accuracy: 0.5420\n",
            "Epoch 8156/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9912 - val_binary_accuracy: 0.5430\n",
            "Epoch 8157/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9907 - val_binary_accuracy: 0.5420\n",
            "Epoch 8158/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9912 - val_binary_accuracy: 0.5430\n",
            "Epoch 8159/10000\n",
            "401/401 [==============================] - 0s 63us/step - loss: 0.5377 - binary_accuracy: 0.6708 - val_loss: 0.9907 - val_binary_accuracy: 0.5420\n",
            "Epoch 8160/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9912 - val_binary_accuracy: 0.5420\n",
            "Epoch 8161/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9910 - val_binary_accuracy: 0.5440\n",
            "Epoch 8162/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9913 - val_binary_accuracy: 0.5440\n",
            "Epoch 8163/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9911 - val_binary_accuracy: 0.5440\n",
            "Epoch 8164/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9915 - val_binary_accuracy: 0.5440\n",
            "Epoch 8165/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9912 - val_binary_accuracy: 0.5440\n",
            "Epoch 8166/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9917 - val_binary_accuracy: 0.5420\n",
            "Epoch 8167/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9911 - val_binary_accuracy: 0.5420\n",
            "Epoch 8168/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9919 - val_binary_accuracy: 0.5430\n",
            "Epoch 8169/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9913 - val_binary_accuracy: 0.5420\n",
            "Epoch 8170/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9918 - val_binary_accuracy: 0.5430\n",
            "Epoch 8171/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9914 - val_binary_accuracy: 0.5420\n",
            "Epoch 8172/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9919 - val_binary_accuracy: 0.5420\n",
            "Epoch 8173/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9917 - val_binary_accuracy: 0.5440\n",
            "Epoch 8174/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9919 - val_binary_accuracy: 0.5440\n",
            "Epoch 8175/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9918 - val_binary_accuracy: 0.5440\n",
            "Epoch 8176/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9921 - val_binary_accuracy: 0.5420\n",
            "Epoch 8177/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9918 - val_binary_accuracy: 0.5420\n",
            "Epoch 8178/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9924 - val_binary_accuracy: 0.5430\n",
            "Epoch 8179/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9918 - val_binary_accuracy: 0.5420\n",
            "Epoch 8180/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9925 - val_binary_accuracy: 0.5430\n",
            "Epoch 8181/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9919 - val_binary_accuracy: 0.5420\n",
            "Epoch 8182/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9924 - val_binary_accuracy: 0.5420\n",
            "Epoch 8183/10000\n",
            "401/401 [==============================] - 0s 56us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9921 - val_binary_accuracy: 0.5440\n",
            "Epoch 8184/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9926 - val_binary_accuracy: 0.5420\n",
            "Epoch 8185/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9924 - val_binary_accuracy: 0.5440\n",
            "Epoch 8186/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9926 - val_binary_accuracy: 0.5420\n",
            "Epoch 8187/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9924 - val_binary_accuracy: 0.5440\n",
            "Epoch 8188/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9929 - val_binary_accuracy: 0.5420\n",
            "Epoch 8189/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9925 - val_binary_accuracy: 0.5420\n",
            "Epoch 8190/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9930 - val_binary_accuracy: 0.5430\n",
            "Epoch 8191/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9924 - val_binary_accuracy: 0.5420\n",
            "Epoch 8192/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9931 - val_binary_accuracy: 0.5430\n",
            "Epoch 8193/10000\n",
            "401/401 [==============================] - 0s 51us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9927 - val_binary_accuracy: 0.5420\n",
            "Epoch 8194/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9931 - val_binary_accuracy: 0.5420\n",
            "Epoch 8195/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9928 - val_binary_accuracy: 0.5440\n",
            "Epoch 8196/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9932 - val_binary_accuracy: 0.5420\n",
            "Epoch 8197/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9930 - val_binary_accuracy: 0.5440\n",
            "Epoch 8198/10000\n",
            "401/401 [==============================] - 0s 68us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9933 - val_binary_accuracy: 0.5420\n",
            "Epoch 8199/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9930 - val_binary_accuracy: 0.5440\n",
            "Epoch 8200/10000\n",
            "401/401 [==============================] - 0s 66us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9935 - val_binary_accuracy: 0.5420\n",
            "Epoch 8201/10000\n",
            "401/401 [==============================] - 0s 57us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9931 - val_binary_accuracy: 0.5420\n",
            "Epoch 8202/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9937 - val_binary_accuracy: 0.5430\n",
            "Epoch 8203/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9931 - val_binary_accuracy: 0.5420\n",
            "Epoch 8204/10000\n",
            "401/401 [==============================] - 0s 31us/step - loss: 0.5376 - binary_accuracy: 0.6708 - val_loss: 0.9937 - val_binary_accuracy: 0.5430\n",
            "Epoch 8205/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9933 - val_binary_accuracy: 0.5420\n",
            "Epoch 8206/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9937 - val_binary_accuracy: 0.5420\n",
            "Epoch 8207/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9935 - val_binary_accuracy: 0.5440\n",
            "Epoch 8208/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9939 - val_binary_accuracy: 0.5420\n",
            "Epoch 8209/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9937 - val_binary_accuracy: 0.5440\n",
            "Epoch 8210/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9939 - val_binary_accuracy: 0.5420\n",
            "Epoch 8211/10000\n",
            "401/401 [==============================] - 0s 57us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9937 - val_binary_accuracy: 0.5440\n",
            "Epoch 8212/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9942 - val_binary_accuracy: 0.5420\n",
            "Epoch 8213/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9938 - val_binary_accuracy: 0.5420\n",
            "Epoch 8214/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9942 - val_binary_accuracy: 0.5430\n",
            "Epoch 8215/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9936 - val_binary_accuracy: 0.5420\n",
            "Epoch 8216/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9944 - val_binary_accuracy: 0.5430\n",
            "Epoch 8217/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9940 - val_binary_accuracy: 0.5420\n",
            "Epoch 8218/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9943 - val_binary_accuracy: 0.5420\n",
            "Epoch 8219/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9941 - val_binary_accuracy: 0.5440\n",
            "Epoch 8220/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9945 - val_binary_accuracy: 0.5410\n",
            "Epoch 8221/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9942 - val_binary_accuracy: 0.5440\n",
            "Epoch 8222/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9946 - val_binary_accuracy: 0.5420\n",
            "Epoch 8223/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9943 - val_binary_accuracy: 0.5420\n",
            "Epoch 8224/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9948 - val_binary_accuracy: 0.5420\n",
            "Epoch 8225/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9943 - val_binary_accuracy: 0.5420\n",
            "Epoch 8226/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9949 - val_binary_accuracy: 0.5430\n",
            "Epoch 8227/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9944 - val_binary_accuracy: 0.5420\n",
            "Epoch 8228/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9950 - val_binary_accuracy: 0.5420\n",
            "Epoch 8229/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9946 - val_binary_accuracy: 0.5440\n",
            "Epoch 8230/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9950 - val_binary_accuracy: 0.5410\n",
            "Epoch 8231/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9947 - val_binary_accuracy: 0.5440\n",
            "Epoch 8232/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9952 - val_binary_accuracy: 0.5410\n",
            "Epoch 8233/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9948 - val_binary_accuracy: 0.5420\n",
            "Epoch 8234/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9953 - val_binary_accuracy: 0.5420\n",
            "Epoch 8235/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9948 - val_binary_accuracy: 0.5420\n",
            "Epoch 8236/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5375 - binary_accuracy: 0.6708 - val_loss: 0.9954 - val_binary_accuracy: 0.5420\n",
            "Epoch 8237/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9949 - val_binary_accuracy: 0.5420\n",
            "Epoch 8238/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9955 - val_binary_accuracy: 0.5420\n",
            "Epoch 8239/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9951 - val_binary_accuracy: 0.5440\n",
            "Epoch 8240/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9955 - val_binary_accuracy: 0.5410\n",
            "Epoch 8241/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9953 - val_binary_accuracy: 0.5440\n",
            "Epoch 8242/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9957 - val_binary_accuracy: 0.5410\n",
            "Epoch 8243/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9954 - val_binary_accuracy: 0.5440\n",
            "Epoch 8244/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9958 - val_binary_accuracy: 0.5410\n",
            "Epoch 8245/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9954 - val_binary_accuracy: 0.5420\n",
            "Epoch 8246/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9960 - val_binary_accuracy: 0.5420\n",
            "Epoch 8247/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9955 - val_binary_accuracy: 0.5420\n",
            "Epoch 8248/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9960 - val_binary_accuracy: 0.5420\n",
            "Epoch 8249/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9956 - val_binary_accuracy: 0.5420\n",
            "Epoch 8250/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9962 - val_binary_accuracy: 0.5420\n",
            "Epoch 8251/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9958 - val_binary_accuracy: 0.5440\n",
            "Epoch 8252/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9962 - val_binary_accuracy: 0.5410\n",
            "Epoch 8253/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9959 - val_binary_accuracy: 0.5440\n",
            "Epoch 8254/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9964 - val_binary_accuracy: 0.5410\n",
            "Epoch 8255/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9961 - val_binary_accuracy: 0.5440\n",
            "Epoch 8256/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9965 - val_binary_accuracy: 0.5420\n",
            "Epoch 8257/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9961 - val_binary_accuracy: 0.5420\n",
            "Epoch 8258/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9967 - val_binary_accuracy: 0.5420\n",
            "Epoch 8259/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9961 - val_binary_accuracy: 0.5420\n",
            "Epoch 8260/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9967 - val_binary_accuracy: 0.5420\n",
            "Epoch 8261/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9962 - val_binary_accuracy: 0.5420\n",
            "Epoch 8262/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9967 - val_binary_accuracy: 0.5410\n",
            "Epoch 8263/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9965 - val_binary_accuracy: 0.5440\n",
            "Epoch 8264/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9968 - val_binary_accuracy: 0.5410\n",
            "Epoch 8265/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9966 - val_binary_accuracy: 0.5440\n",
            "Epoch 8266/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9970 - val_binary_accuracy: 0.5410\n",
            "Epoch 8267/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9967 - val_binary_accuracy: 0.5420\n",
            "Epoch 8268/10000\n",
            "401/401 [==============================] - 0s 54us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9972 - val_binary_accuracy: 0.5410\n",
            "Epoch 8269/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9967 - val_binary_accuracy: 0.5420\n",
            "Epoch 8270/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9973 - val_binary_accuracy: 0.5420\n",
            "Epoch 8271/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9968 - val_binary_accuracy: 0.5420\n",
            "Epoch 8272/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5374 - binary_accuracy: 0.6708 - val_loss: 0.9972 - val_binary_accuracy: 0.5410\n",
            "Epoch 8273/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9968 - val_binary_accuracy: 0.5420\n",
            "Epoch 8274/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9973 - val_binary_accuracy: 0.5410\n",
            "Epoch 8275/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9971 - val_binary_accuracy: 0.5440\n",
            "Epoch 8276/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9975 - val_binary_accuracy: 0.5410\n",
            "Epoch 8277/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9972 - val_binary_accuracy: 0.5440\n",
            "Epoch 8278/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9977 - val_binary_accuracy: 0.5410\n",
            "Epoch 8279/10000\n",
            "401/401 [==============================] - 0s 56us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9973 - val_binary_accuracy: 0.5420\n",
            "Epoch 8280/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9978 - val_binary_accuracy: 0.5410\n",
            "Epoch 8281/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9973 - val_binary_accuracy: 0.5420\n",
            "Epoch 8282/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9979 - val_binary_accuracy: 0.5420\n",
            "Epoch 8283/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9975 - val_binary_accuracy: 0.5420\n",
            "Epoch 8284/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9979 - val_binary_accuracy: 0.5410\n",
            "Epoch 8285/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9976 - val_binary_accuracy: 0.5440\n",
            "Epoch 8286/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9980 - val_binary_accuracy: 0.5410\n",
            "Epoch 8287/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9978 - val_binary_accuracy: 0.5440\n",
            "Epoch 8288/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9981 - val_binary_accuracy: 0.5410\n",
            "Epoch 8289/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9978 - val_binary_accuracy: 0.5440\n",
            "Epoch 8290/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9983 - val_binary_accuracy: 0.5410\n",
            "Epoch 8291/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9979 - val_binary_accuracy: 0.5420\n",
            "Epoch 8292/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9985 - val_binary_accuracy: 0.5410\n",
            "Epoch 8293/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9979 - val_binary_accuracy: 0.5420\n",
            "Epoch 8294/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9985 - val_binary_accuracy: 0.5410\n",
            "Epoch 8295/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9981 - val_binary_accuracy: 0.5420\n",
            "Epoch 8296/10000\n",
            "401/401 [==============================] - 0s 51us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9986 - val_binary_accuracy: 0.5410\n",
            "Epoch 8297/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9984 - val_binary_accuracy: 0.5440\n",
            "Epoch 8298/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9986 - val_binary_accuracy: 0.5410\n",
            "Epoch 8299/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9984 - val_binary_accuracy: 0.5440\n",
            "Epoch 8300/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9988 - val_binary_accuracy: 0.5410\n",
            "Epoch 8301/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9985 - val_binary_accuracy: 0.5420\n",
            "Epoch 8302/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9989 - val_binary_accuracy: 0.5410\n",
            "Epoch 8303/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9985 - val_binary_accuracy: 0.5420\n",
            "Epoch 8304/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9991 - val_binary_accuracy: 0.5410\n",
            "Epoch 8305/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9986 - val_binary_accuracy: 0.5420\n",
            "Epoch 8306/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9991 - val_binary_accuracy: 0.5410\n",
            "Epoch 8307/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9988 - val_binary_accuracy: 0.5440\n",
            "Epoch 8308/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9992 - val_binary_accuracy: 0.5410\n",
            "Epoch 8309/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9990 - val_binary_accuracy: 0.5440\n",
            "Epoch 8310/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9992 - val_binary_accuracy: 0.5410\n",
            "Epoch 8311/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9990 - val_binary_accuracy: 0.5440\n",
            "Epoch 8312/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9995 - val_binary_accuracy: 0.5410\n",
            "Epoch 8313/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9991 - val_binary_accuracy: 0.5420\n",
            "Epoch 8314/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9996 - val_binary_accuracy: 0.5410\n",
            "Epoch 8315/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9991 - val_binary_accuracy: 0.5420\n",
            "Epoch 8316/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5373 - binary_accuracy: 0.6708 - val_loss: 0.9997 - val_binary_accuracy: 0.5410\n",
            "Epoch 8317/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9993 - val_binary_accuracy: 0.5420\n",
            "Epoch 8318/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9997 - val_binary_accuracy: 0.5410\n",
            "Epoch 8319/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9995 - val_binary_accuracy: 0.5440\n",
            "Epoch 8320/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9999 - val_binary_accuracy: 0.5410\n",
            "Epoch 8321/10000\n",
            "401/401 [==============================] - 0s 64us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9996 - val_binary_accuracy: 0.5440\n",
            "Epoch 8322/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9999 - val_binary_accuracy: 0.5410\n",
            "Epoch 8323/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9997 - val_binary_accuracy: 0.5440\n",
            "Epoch 8324/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0002 - val_binary_accuracy: 0.5410\n",
            "Epoch 8325/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9997 - val_binary_accuracy: 0.5420\n",
            "Epoch 8326/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0002 - val_binary_accuracy: 0.5410\n",
            "Epoch 8327/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 0.9996 - val_binary_accuracy: 0.5420\n",
            "Epoch 8328/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0003 - val_binary_accuracy: 0.5410\n",
            "Epoch 8329/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0000 - val_binary_accuracy: 0.5420\n",
            "Epoch 8330/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0003 - val_binary_accuracy: 0.5410\n",
            "Epoch 8331/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0001 - val_binary_accuracy: 0.5440\n",
            "Epoch 8332/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0004 - val_binary_accuracy: 0.5410\n",
            "Epoch 8333/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0003 - val_binary_accuracy: 0.5440\n",
            "Epoch 8334/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0005 - val_binary_accuracy: 0.5410\n",
            "Epoch 8335/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0003 - val_binary_accuracy: 0.5420\n",
            "Epoch 8336/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0008 - val_binary_accuracy: 0.5410\n",
            "Epoch 8337/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0003 - val_binary_accuracy: 0.5420\n",
            "Epoch 8338/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0009 - val_binary_accuracy: 0.5410\n",
            "Epoch 8339/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0004 - val_binary_accuracy: 0.5420\n",
            "Epoch 8340/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0009 - val_binary_accuracy: 0.5410\n",
            "Epoch 8341/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0006 - val_binary_accuracy: 0.5420\n",
            "Epoch 8342/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0010 - val_binary_accuracy: 0.5410\n",
            "Epoch 8343/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0008 - val_binary_accuracy: 0.5440\n",
            "Epoch 8344/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0011 - val_binary_accuracy: 0.5410\n",
            "Epoch 8345/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0009 - val_binary_accuracy: 0.5440\n",
            "Epoch 8346/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0012 - val_binary_accuracy: 0.5410\n",
            "Epoch 8347/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0009 - val_binary_accuracy: 0.5420\n",
            "Epoch 8348/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0014 - val_binary_accuracy: 0.5410\n",
            "Epoch 8349/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0010 - val_binary_accuracy: 0.5420\n",
            "Epoch 8350/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0016 - val_binary_accuracy: 0.5410\n",
            "Epoch 8351/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0010 - val_binary_accuracy: 0.5420\n",
            "Epoch 8352/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0016 - val_binary_accuracy: 0.5410\n",
            "Epoch 8353/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5372 - binary_accuracy: 0.6708 - val_loss: 1.0012 - val_binary_accuracy: 0.5420\n",
            "Epoch 8354/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0016 - val_binary_accuracy: 0.5410\n",
            "Epoch 8355/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0014 - val_binary_accuracy: 0.5440\n",
            "Epoch 8356/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0017 - val_binary_accuracy: 0.5410\n",
            "Epoch 8357/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0015 - val_binary_accuracy: 0.5440\n",
            "Epoch 8358/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0019 - val_binary_accuracy: 0.5410\n",
            "Epoch 8359/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0016 - val_binary_accuracy: 0.5420\n",
            "Epoch 8360/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0020 - val_binary_accuracy: 0.5410\n",
            "Epoch 8361/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0015 - val_binary_accuracy: 0.5420\n",
            "Epoch 8362/10000\n",
            "401/401 [==============================] - 0s 57us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0022 - val_binary_accuracy: 0.5410\n",
            "Epoch 8363/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0017 - val_binary_accuracy: 0.5420\n",
            "Epoch 8364/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0021 - val_binary_accuracy: 0.5410\n",
            "Epoch 8365/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0018 - val_binary_accuracy: 0.5420\n",
            "Epoch 8366/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0023 - val_binary_accuracy: 0.5410\n",
            "Epoch 8367/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0020 - val_binary_accuracy: 0.5440\n",
            "Epoch 8368/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0023 - val_binary_accuracy: 0.5410\n",
            "Epoch 8369/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0021 - val_binary_accuracy: 0.5440\n",
            "Epoch 8370/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0025 - val_binary_accuracy: 0.5410\n",
            "Epoch 8371/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0022 - val_binary_accuracy: 0.5420\n",
            "Epoch 8372/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0026 - val_binary_accuracy: 0.5410\n",
            "Epoch 8373/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0021 - val_binary_accuracy: 0.5420\n",
            "Epoch 8374/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0028 - val_binary_accuracy: 0.5410\n",
            "Epoch 8375/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0024 - val_binary_accuracy: 0.5420\n",
            "Epoch 8376/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0028 - val_binary_accuracy: 0.5410\n",
            "Epoch 8377/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0025 - val_binary_accuracy: 0.5440\n",
            "Epoch 8378/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0029 - val_binary_accuracy: 0.5410\n",
            "Epoch 8379/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0027 - val_binary_accuracy: 0.5440\n",
            "Epoch 8380/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0030 - val_binary_accuracy: 0.5410\n",
            "Epoch 8381/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0028 - val_binary_accuracy: 0.5440\n",
            "Epoch 8382/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0032 - val_binary_accuracy: 0.5410\n",
            "Epoch 8383/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0029 - val_binary_accuracy: 0.5420\n",
            "Epoch 8384/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0033 - val_binary_accuracy: 0.5410\n",
            "Epoch 8385/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0028 - val_binary_accuracy: 0.5420\n",
            "Epoch 8386/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0035 - val_binary_accuracy: 0.5410\n",
            "Epoch 8387/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0029 - val_binary_accuracy: 0.5420\n",
            "Epoch 8388/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0033 - val_binary_accuracy: 0.5410\n",
            "Epoch 8389/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0030 - val_binary_accuracy: 0.5440\n",
            "Epoch 8390/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0035 - val_binary_accuracy: 0.5410\n",
            "Epoch 8391/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0033 - val_binary_accuracy: 0.5440\n",
            "Epoch 8392/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0036 - val_binary_accuracy: 0.5410\n",
            "Epoch 8393/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0034 - val_binary_accuracy: 0.5440\n",
            "Epoch 8394/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0038 - val_binary_accuracy: 0.5410\n",
            "Epoch 8395/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0035 - val_binary_accuracy: 0.5420\n",
            "Epoch 8396/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0039 - val_binary_accuracy: 0.5410\n",
            "Epoch 8397/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0034 - val_binary_accuracy: 0.5420\n",
            "Epoch 8398/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0041 - val_binary_accuracy: 0.5410\n",
            "Epoch 8399/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5371 - binary_accuracy: 0.6708 - val_loss: 1.0036 - val_binary_accuracy: 0.5420\n",
            "Epoch 8400/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0040 - val_binary_accuracy: 0.5410\n",
            "Epoch 8401/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0037 - val_binary_accuracy: 0.5440\n",
            "Epoch 8402/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0041 - val_binary_accuracy: 0.5410\n",
            "Epoch 8403/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0039 - val_binary_accuracy: 0.5440\n",
            "Epoch 8404/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0043 - val_binary_accuracy: 0.5410\n",
            "Epoch 8405/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0040 - val_binary_accuracy: 0.5440\n",
            "Epoch 8406/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0044 - val_binary_accuracy: 0.5410\n",
            "Epoch 8407/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0041 - val_binary_accuracy: 0.5420\n",
            "Epoch 8408/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0046 - val_binary_accuracy: 0.5410\n",
            "Epoch 8409/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0040 - val_binary_accuracy: 0.5420\n",
            "Epoch 8410/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0046 - val_binary_accuracy: 0.5410\n",
            "Epoch 8411/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0042 - val_binary_accuracy: 0.5420\n",
            "Epoch 8412/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0047 - val_binary_accuracy: 0.5410\n",
            "Epoch 8413/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0045 - val_binary_accuracy: 0.5440\n",
            "Epoch 8414/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0048 - val_binary_accuracy: 0.5410\n",
            "Epoch 8415/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0046 - val_binary_accuracy: 0.5440\n",
            "Epoch 8416/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0049 - val_binary_accuracy: 0.5410\n",
            "Epoch 8417/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0047 - val_binary_accuracy: 0.5440\n",
            "Epoch 8418/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0050 - val_binary_accuracy: 0.5410\n",
            "Epoch 8419/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0047 - val_binary_accuracy: 0.5420\n",
            "Epoch 8420/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0053 - val_binary_accuracy: 0.5410\n",
            "Epoch 8421/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0047 - val_binary_accuracy: 0.5420\n",
            "Epoch 8422/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0053 - val_binary_accuracy: 0.5410\n",
            "Epoch 8423/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0049 - val_binary_accuracy: 0.5420\n",
            "Epoch 8424/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0053 - val_binary_accuracy: 0.5410\n",
            "Epoch 8425/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0051 - val_binary_accuracy: 0.5440\n",
            "Epoch 8426/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0054 - val_binary_accuracy: 0.5410\n",
            "Epoch 8427/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0052 - val_binary_accuracy: 0.5440\n",
            "Epoch 8428/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0055 - val_binary_accuracy: 0.5410\n",
            "Epoch 8429/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0053 - val_binary_accuracy: 0.5440\n",
            "Epoch 8430/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0057 - val_binary_accuracy: 0.5410\n",
            "Epoch 8431/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0053 - val_binary_accuracy: 0.5420\n",
            "Epoch 8432/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0059 - val_binary_accuracy: 0.5410\n",
            "Epoch 8433/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0053 - val_binary_accuracy: 0.5420\n",
            "Epoch 8434/10000\n",
            "401/401 [==============================] - 0s 59us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0059 - val_binary_accuracy: 0.5410\n",
            "Epoch 8435/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0055 - val_binary_accuracy: 0.5420\n",
            "Epoch 8436/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0059 - val_binary_accuracy: 0.5410\n",
            "Epoch 8437/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0057 - val_binary_accuracy: 0.5440\n",
            "Epoch 8438/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0060 - val_binary_accuracy: 0.5410\n",
            "Epoch 8439/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0058 - val_binary_accuracy: 0.5440\n",
            "Epoch 8440/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0061 - val_binary_accuracy: 0.5410\n",
            "Epoch 8441/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0060 - val_binary_accuracy: 0.5420\n",
            "Epoch 8442/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0063 - val_binary_accuracy: 0.5410\n",
            "Epoch 8443/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0059 - val_binary_accuracy: 0.5420\n",
            "Epoch 8444/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0065 - val_binary_accuracy: 0.5410\n",
            "Epoch 8445/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0059 - val_binary_accuracy: 0.5420\n",
            "Epoch 8446/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0065 - val_binary_accuracy: 0.5410\n",
            "Epoch 8447/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5370 - binary_accuracy: 0.6708 - val_loss: 1.0060 - val_binary_accuracy: 0.5420\n",
            "Epoch 8448/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0066 - val_binary_accuracy: 0.5410\n",
            "Epoch 8449/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0063 - val_binary_accuracy: 0.5420\n",
            "Epoch 8450/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0066 - val_binary_accuracy: 0.5410\n",
            "Epoch 8451/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0064 - val_binary_accuracy: 0.5420\n",
            "Epoch 8452/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0068 - val_binary_accuracy: 0.5410\n",
            "Epoch 8453/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0065 - val_binary_accuracy: 0.5420\n",
            "Epoch 8454/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0069 - val_binary_accuracy: 0.5410\n",
            "Epoch 8455/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0065 - val_binary_accuracy: 0.5420\n",
            "Epoch 8456/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0071 - val_binary_accuracy: 0.5410\n",
            "Epoch 8457/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0066 - val_binary_accuracy: 0.5420\n",
            "Epoch 8458/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0072 - val_binary_accuracy: 0.5410\n",
            "Epoch 8459/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0066 - val_binary_accuracy: 0.5420\n",
            "Epoch 8460/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0072 - val_binary_accuracy: 0.5410\n",
            "Epoch 8461/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0069 - val_binary_accuracy: 0.5420\n",
            "Epoch 8462/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0072 - val_binary_accuracy: 0.5410\n",
            "Epoch 8463/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0070 - val_binary_accuracy: 0.5420\n",
            "Epoch 8464/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0074 - val_binary_accuracy: 0.5410\n",
            "Epoch 8465/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0071 - val_binary_accuracy: 0.5420\n",
            "Epoch 8466/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0075 - val_binary_accuracy: 0.5410\n",
            "Epoch 8467/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0071 - val_binary_accuracy: 0.5420\n",
            "Epoch 8468/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0077 - val_binary_accuracy: 0.5410\n",
            "Epoch 8469/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0072 - val_binary_accuracy: 0.5420\n",
            "Epoch 8470/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0078 - val_binary_accuracy: 0.5410\n",
            "Epoch 8471/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0073 - val_binary_accuracy: 0.5420\n",
            "Epoch 8472/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0078 - val_binary_accuracy: 0.5410\n",
            "Epoch 8473/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0075 - val_binary_accuracy: 0.5400\n",
            "Epoch 8474/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0079 - val_binary_accuracy: 0.5410\n",
            "Epoch 8475/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0077 - val_binary_accuracy: 0.5420\n",
            "Epoch 8476/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0081 - val_binary_accuracy: 0.5410\n",
            "Epoch 8477/10000\n",
            "401/401 [==============================] - 0s 51us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0078 - val_binary_accuracy: 0.5400\n",
            "Epoch 8478/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0082 - val_binary_accuracy: 0.5410\n",
            "Epoch 8479/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0078 - val_binary_accuracy: 0.5420\n",
            "Epoch 8480/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0084 - val_binary_accuracy: 0.5410\n",
            "Epoch 8481/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0078 - val_binary_accuracy: 0.5420\n",
            "Epoch 8482/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5369 - binary_accuracy: 0.6708 - val_loss: 1.0084 - val_binary_accuracy: 0.5410\n",
            "Epoch 8483/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0080 - val_binary_accuracy: 0.5420\n",
            "Epoch 8484/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0085 - val_binary_accuracy: 0.5410\n",
            "Epoch 8485/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0082 - val_binary_accuracy: 0.5400\n",
            "Epoch 8486/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0085 - val_binary_accuracy: 0.5410\n",
            "Epoch 8487/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0083 - val_binary_accuracy: 0.5420\n",
            "Epoch 8488/10000\n",
            "401/401 [==============================] - 0s 58us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0086 - val_binary_accuracy: 0.5410\n",
            "Epoch 8489/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0084 - val_binary_accuracy: 0.5420\n",
            "Epoch 8490/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0088 - val_binary_accuracy: 0.5410\n",
            "Epoch 8491/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0084 - val_binary_accuracy: 0.5420\n",
            "Epoch 8492/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0090 - val_binary_accuracy: 0.5410\n",
            "Epoch 8493/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0084 - val_binary_accuracy: 0.5420\n",
            "Epoch 8494/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0091 - val_binary_accuracy: 0.5410\n",
            "Epoch 8495/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0086 - val_binary_accuracy: 0.5420\n",
            "Epoch 8496/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0091 - val_binary_accuracy: 0.5410\n",
            "Epoch 8497/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0087 - val_binary_accuracy: 0.5400\n",
            "Epoch 8498/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0091 - val_binary_accuracy: 0.5410\n",
            "Epoch 8499/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0090 - val_binary_accuracy: 0.5420\n",
            "Epoch 8500/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0093 - val_binary_accuracy: 0.5410\n",
            "Epoch 8501/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0090 - val_binary_accuracy: 0.5420\n",
            "Epoch 8502/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0095 - val_binary_accuracy: 0.5410\n",
            "Epoch 8503/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0091 - val_binary_accuracy: 0.5400\n",
            "Epoch 8504/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0095 - val_binary_accuracy: 0.5410\n",
            "Epoch 8505/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0089 - val_binary_accuracy: 0.5420\n",
            "Epoch 8506/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0097 - val_binary_accuracy: 0.5410\n",
            "Epoch 8507/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0092 - val_binary_accuracy: 0.5400\n",
            "Epoch 8508/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0097 - val_binary_accuracy: 0.5410\n",
            "Epoch 8509/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0094 - val_binary_accuracy: 0.5400\n",
            "Epoch 8510/10000\n",
            "401/401 [==============================] - 0s 59us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0098 - val_binary_accuracy: 0.5410\n",
            "Epoch 8511/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0096 - val_binary_accuracy: 0.5420\n",
            "Epoch 8512/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0099 - val_binary_accuracy: 0.5410\n",
            "Epoch 8513/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0096 - val_binary_accuracy: 0.5400\n",
            "Epoch 8514/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0101 - val_binary_accuracy: 0.5410\n",
            "Epoch 8515/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0096 - val_binary_accuracy: 0.5420\n",
            "Epoch 8516/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0102 - val_binary_accuracy: 0.5410\n",
            "Epoch 8517/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0097 - val_binary_accuracy: 0.5420\n",
            "Epoch 8518/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0103 - val_binary_accuracy: 0.5410\n",
            "Epoch 8519/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5368 - binary_accuracy: 0.6708 - val_loss: 1.0099 - val_binary_accuracy: 0.5400\n",
            "Epoch 8520/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0103 - val_binary_accuracy: 0.5410\n",
            "Epoch 8521/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0100 - val_binary_accuracy: 0.5400\n",
            "Epoch 8522/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0104 - val_binary_accuracy: 0.5410\n",
            "Epoch 8523/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0101 - val_binary_accuracy: 0.5420\n",
            "Epoch 8524/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0105 - val_binary_accuracy: 0.5410\n",
            "Epoch 8525/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0102 - val_binary_accuracy: 0.5400\n",
            "Epoch 8526/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0107 - val_binary_accuracy: 0.5410\n",
            "Epoch 8527/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0103 - val_binary_accuracy: 0.5400\n",
            "Epoch 8528/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0108 - val_binary_accuracy: 0.5410\n",
            "Epoch 8529/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0103 - val_binary_accuracy: 0.5420\n",
            "Epoch 8530/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0108 - val_binary_accuracy: 0.5410\n",
            "Epoch 8531/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0104 - val_binary_accuracy: 0.5400\n",
            "Epoch 8532/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0109 - val_binary_accuracy: 0.5410\n",
            "Epoch 8533/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0107 - val_binary_accuracy: 0.5420\n",
            "Epoch 8534/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0110 - val_binary_accuracy: 0.5410\n",
            "Epoch 8535/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0108 - val_binary_accuracy: 0.5420\n",
            "Epoch 8536/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0112 - val_binary_accuracy: 0.5410\n",
            "Epoch 8537/10000\n",
            "401/401 [==============================] - 0s 54us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0109 - val_binary_accuracy: 0.5400\n",
            "Epoch 8538/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0113 - val_binary_accuracy: 0.5410\n",
            "Epoch 8539/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0108 - val_binary_accuracy: 0.5420\n",
            "Epoch 8540/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0115 - val_binary_accuracy: 0.5410\n",
            "Epoch 8541/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0109 - val_binary_accuracy: 0.5420\n",
            "Epoch 8542/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0115 - val_binary_accuracy: 0.5410\n",
            "Epoch 8543/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0111 - val_binary_accuracy: 0.5400\n",
            "Epoch 8544/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0116 - val_binary_accuracy: 0.5410\n",
            "Epoch 8545/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0113 - val_binary_accuracy: 0.5420\n",
            "Epoch 8546/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0116 - val_binary_accuracy: 0.5410\n",
            "Epoch 8547/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0114 - val_binary_accuracy: 0.5420\n",
            "Epoch 8548/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0118 - val_binary_accuracy: 0.5410\n",
            "Epoch 8549/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0115 - val_binary_accuracy: 0.5400\n",
            "Epoch 8550/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0120 - val_binary_accuracy: 0.5410\n",
            "Epoch 8551/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0114 - val_binary_accuracy: 0.5420\n",
            "Epoch 8552/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0121 - val_binary_accuracy: 0.5410\n",
            "Epoch 8553/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0116 - val_binary_accuracy: 0.5400\n",
            "Epoch 8554/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0121 - val_binary_accuracy: 0.5410\n",
            "Epoch 8555/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0117 - val_binary_accuracy: 0.5400\n",
            "Epoch 8556/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0122 - val_binary_accuracy: 0.5410\n",
            "Epoch 8557/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0119 - val_binary_accuracy: 0.5400\n",
            "Epoch 8558/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0123 - val_binary_accuracy: 0.5410\n",
            "Epoch 8559/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0120 - val_binary_accuracy: 0.5400\n",
            "Epoch 8560/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0125 - val_binary_accuracy: 0.5410\n",
            "Epoch 8561/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0121 - val_binary_accuracy: 0.5400\n",
            "Epoch 8562/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0125 - val_binary_accuracy: 0.5410\n",
            "Epoch 8563/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0120 - val_binary_accuracy: 0.5400\n",
            "Epoch 8564/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5367 - binary_accuracy: 0.6708 - val_loss: 1.0127 - val_binary_accuracy: 0.5410\n",
            "Epoch 8565/10000\n",
            "401/401 [==============================] - 0s 52us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0122 - val_binary_accuracy: 0.5400\n",
            "Epoch 8566/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0127 - val_binary_accuracy: 0.5410\n",
            "Epoch 8567/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0124 - val_binary_accuracy: 0.5400\n",
            "Epoch 8568/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0128 - val_binary_accuracy: 0.5410\n",
            "Epoch 8569/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0125 - val_binary_accuracy: 0.5400\n",
            "Epoch 8570/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0129 - val_binary_accuracy: 0.5410\n",
            "Epoch 8571/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0126 - val_binary_accuracy: 0.5400\n",
            "Epoch 8572/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0131 - val_binary_accuracy: 0.5410\n",
            "Epoch 8573/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0127 - val_binary_accuracy: 0.5400\n",
            "Epoch 8574/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0132 - val_binary_accuracy: 0.5410\n",
            "Epoch 8575/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0127 - val_binary_accuracy: 0.5420\n",
            "Epoch 8576/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0132 - val_binary_accuracy: 0.5410\n",
            "Epoch 8577/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0128 - val_binary_accuracy: 0.5400\n",
            "Epoch 8578/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0133 - val_binary_accuracy: 0.5410\n",
            "Epoch 8579/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0130 - val_binary_accuracy: 0.5400\n",
            "Epoch 8580/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0134 - val_binary_accuracy: 0.5410\n",
            "Epoch 8581/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0131 - val_binary_accuracy: 0.5400\n",
            "Epoch 8582/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0136 - val_binary_accuracy: 0.5410\n",
            "Epoch 8583/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0133 - val_binary_accuracy: 0.5400\n",
            "Epoch 8584/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0137 - val_binary_accuracy: 0.5410\n",
            "Epoch 8585/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0132 - val_binary_accuracy: 0.5400\n",
            "Epoch 8586/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0139 - val_binary_accuracy: 0.5410\n",
            "Epoch 8587/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0133 - val_binary_accuracy: 0.5420\n",
            "Epoch 8588/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0139 - val_binary_accuracy: 0.5410\n",
            "Epoch 8589/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0135 - val_binary_accuracy: 0.5400\n",
            "Epoch 8590/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0140 - val_binary_accuracy: 0.5410\n",
            "Epoch 8591/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0137 - val_binary_accuracy: 0.5400\n",
            "Epoch 8592/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0140 - val_binary_accuracy: 0.5410\n",
            "Epoch 8593/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0138 - val_binary_accuracy: 0.5420\n",
            "Epoch 8594/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0142 - val_binary_accuracy: 0.5410\n",
            "Epoch 8595/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0139 - val_binary_accuracy: 0.5400\n",
            "Epoch 8596/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0143 - val_binary_accuracy: 0.5410\n",
            "Epoch 8597/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0139 - val_binary_accuracy: 0.5400\n",
            "Epoch 8598/10000\n",
            "401/401 [==============================] - 0s 58us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0145 - val_binary_accuracy: 0.5410\n",
            "Epoch 8599/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0139 - val_binary_accuracy: 0.5420\n",
            "Epoch 8600/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0145 - val_binary_accuracy: 0.5410\n",
            "Epoch 8601/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0141 - val_binary_accuracy: 0.5400\n",
            "Epoch 8602/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0146 - val_binary_accuracy: 0.5410\n",
            "Epoch 8603/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0143 - val_binary_accuracy: 0.5400\n",
            "Epoch 8604/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0146 - val_binary_accuracy: 0.5410\n",
            "Epoch 8605/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0144 - val_binary_accuracy: 0.5420\n",
            "Epoch 8606/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0148 - val_binary_accuracy: 0.5410\n",
            "Epoch 8607/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0146 - val_binary_accuracy: 0.5400\n",
            "Epoch 8608/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0149 - val_binary_accuracy: 0.5410\n",
            "Epoch 8609/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0145 - val_binary_accuracy: 0.5400\n",
            "Epoch 8610/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0151 - val_binary_accuracy: 0.5410\n",
            "Epoch 8611/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0146 - val_binary_accuracy: 0.5400\n",
            "Epoch 8612/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5366 - binary_accuracy: 0.6708 - val_loss: 1.0151 - val_binary_accuracy: 0.5410\n",
            "Epoch 8613/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0147 - val_binary_accuracy: 0.5400\n",
            "Epoch 8614/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0152 - val_binary_accuracy: 0.5410\n",
            "Epoch 8615/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0150 - val_binary_accuracy: 0.5400\n",
            "Epoch 8616/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0153 - val_binary_accuracy: 0.5410\n",
            "Epoch 8617/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0151 - val_binary_accuracy: 0.5420\n",
            "Epoch 8618/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0154 - val_binary_accuracy: 0.5410\n",
            "Epoch 8619/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0152 - val_binary_accuracy: 0.5400\n",
            "Epoch 8620/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0156 - val_binary_accuracy: 0.5410\n",
            "Epoch 8621/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0152 - val_binary_accuracy: 0.5400\n",
            "Epoch 8622/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0156 - val_binary_accuracy: 0.5410\n",
            "Epoch 8623/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0151 - val_binary_accuracy: 0.5420\n",
            "Epoch 8624/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0158 - val_binary_accuracy: 0.5410\n",
            "Epoch 8625/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0153 - val_binary_accuracy: 0.5400\n",
            "Epoch 8626/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0158 - val_binary_accuracy: 0.5410\n",
            "Epoch 8627/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0155 - val_binary_accuracy: 0.5400\n",
            "Epoch 8628/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0159 - val_binary_accuracy: 0.5410\n",
            "Epoch 8629/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0157 - val_binary_accuracy: 0.5420\n",
            "Epoch 8630/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0160 - val_binary_accuracy: 0.5410\n",
            "Epoch 8631/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0158 - val_binary_accuracy: 0.5420\n",
            "Epoch 8632/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0162 - val_binary_accuracy: 0.5410\n",
            "Epoch 8633/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0158 - val_binary_accuracy: 0.5400\n",
            "Epoch 8634/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0163 - val_binary_accuracy: 0.5410\n",
            "Epoch 8635/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0158 - val_binary_accuracy: 0.5420\n",
            "Epoch 8636/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0164 - val_binary_accuracy: 0.5410\n",
            "Epoch 8637/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0159 - val_binary_accuracy: 0.5400\n",
            "Epoch 8638/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0164 - val_binary_accuracy: 0.5410\n",
            "Epoch 8639/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0161 - val_binary_accuracy: 0.5400\n",
            "Epoch 8640/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0165 - val_binary_accuracy: 0.5410\n",
            "Epoch 8641/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0163 - val_binary_accuracy: 0.5420\n",
            "Epoch 8642/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0166 - val_binary_accuracy: 0.5410\n",
            "Epoch 8643/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0164 - val_binary_accuracy: 0.5400\n",
            "Epoch 8644/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0168 - val_binary_accuracy: 0.5410\n",
            "Epoch 8645/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0164 - val_binary_accuracy: 0.5400\n",
            "Epoch 8646/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0169 - val_binary_accuracy: 0.5410\n",
            "Epoch 8647/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0164 - val_binary_accuracy: 0.5400\n",
            "Epoch 8648/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0170 - val_binary_accuracy: 0.5410\n",
            "Epoch 8649/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0165 - val_binary_accuracy: 0.5400\n",
            "Epoch 8650/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5365 - binary_accuracy: 0.6708 - val_loss: 1.0171 - val_binary_accuracy: 0.5410\n",
            "Epoch 8651/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0167 - val_binary_accuracy: 0.5400\n",
            "Epoch 8652/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0171 - val_binary_accuracy: 0.5410\n",
            "Epoch 8653/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0168 - val_binary_accuracy: 0.5400\n",
            "Epoch 8654/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0172 - val_binary_accuracy: 0.5410\n",
            "Epoch 8655/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0170 - val_binary_accuracy: 0.5400\n",
            "Epoch 8656/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0174 - val_binary_accuracy: 0.5410\n",
            "Epoch 8657/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0170 - val_binary_accuracy: 0.5400\n",
            "Epoch 8658/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0176 - val_binary_accuracy: 0.5410\n",
            "Epoch 8659/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0171 - val_binary_accuracy: 0.5400\n",
            "Epoch 8660/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0176 - val_binary_accuracy: 0.5410\n",
            "Epoch 8661/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0172 - val_binary_accuracy: 0.5400\n",
            "Epoch 8662/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0177 - val_binary_accuracy: 0.5410\n",
            "Epoch 8663/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0174 - val_binary_accuracy: 0.5400\n",
            "Epoch 8664/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0178 - val_binary_accuracy: 0.5410\n",
            "Epoch 8665/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0175 - val_binary_accuracy: 0.5400\n",
            "Epoch 8666/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0180 - val_binary_accuracy: 0.5410\n",
            "Epoch 8667/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0176 - val_binary_accuracy: 0.5400\n",
            "Epoch 8668/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0180 - val_binary_accuracy: 0.5410\n",
            "Epoch 8669/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0176 - val_binary_accuracy: 0.5400\n",
            "Epoch 8670/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0182 - val_binary_accuracy: 0.5410\n",
            "Epoch 8671/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0177 - val_binary_accuracy: 0.5400\n",
            "Epoch 8672/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0182 - val_binary_accuracy: 0.5410\n",
            "Epoch 8673/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0178 - val_binary_accuracy: 0.5400\n",
            "Epoch 8674/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0183 - val_binary_accuracy: 0.5410\n",
            "Epoch 8675/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0181 - val_binary_accuracy: 0.5420\n",
            "Epoch 8676/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0184 - val_binary_accuracy: 0.5410\n",
            "Epoch 8677/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0182 - val_binary_accuracy: 0.5400\n",
            "Epoch 8678/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0185 - val_binary_accuracy: 0.5410\n",
            "Epoch 8679/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0182 - val_binary_accuracy: 0.5400\n",
            "Epoch 8680/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0187 - val_binary_accuracy: 0.5410\n",
            "Epoch 8681/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0183 - val_binary_accuracy: 0.5400\n",
            "Epoch 8682/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0187 - val_binary_accuracy: 0.5420\n",
            "Epoch 8683/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0182 - val_binary_accuracy: 0.5400\n",
            "Epoch 8684/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0188 - val_binary_accuracy: 0.5410\n",
            "Epoch 8685/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0185 - val_binary_accuracy: 0.5400\n",
            "Epoch 8686/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0188 - val_binary_accuracy: 0.5410\n",
            "Epoch 8687/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0187 - val_binary_accuracy: 0.5420\n",
            "Epoch 8688/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0190 - val_binary_accuracy: 0.5410\n",
            "Epoch 8689/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0188 - val_binary_accuracy: 0.5400\n",
            "Epoch 8690/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0191 - val_binary_accuracy: 0.5410\n",
            "Epoch 8691/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0188 - val_binary_accuracy: 0.5400\n",
            "Epoch 8692/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0193 - val_binary_accuracy: 0.5410\n",
            "Epoch 8693/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0188 - val_binary_accuracy: 0.5400\n",
            "Epoch 8694/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0194 - val_binary_accuracy: 0.5410\n",
            "Epoch 8695/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0189 - val_binary_accuracy: 0.5400\n",
            "Epoch 8696/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0194 - val_binary_accuracy: 0.5410\n",
            "Epoch 8697/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0192 - val_binary_accuracy: 0.5400\n",
            "Epoch 8698/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0195 - val_binary_accuracy: 0.5410\n",
            "Epoch 8699/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0193 - val_binary_accuracy: 0.5400\n",
            "Epoch 8700/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0196 - val_binary_accuracy: 0.5410\n",
            "Epoch 8701/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0194 - val_binary_accuracy: 0.5400\n",
            "Epoch 8702/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0198 - val_binary_accuracy: 0.5410\n",
            "Epoch 8703/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0194 - val_binary_accuracy: 0.5400\n",
            "Epoch 8704/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0199 - val_binary_accuracy: 0.5420\n",
            "Epoch 8705/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0194 - val_binary_accuracy: 0.5400\n",
            "Epoch 8706/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5364 - binary_accuracy: 0.6708 - val_loss: 1.0200 - val_binary_accuracy: 0.5410\n",
            "Epoch 8707/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0196 - val_binary_accuracy: 0.5400\n",
            "Epoch 8708/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0200 - val_binary_accuracy: 0.5410\n",
            "Epoch 8709/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0197 - val_binary_accuracy: 0.5400\n",
            "Epoch 8710/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0202 - val_binary_accuracy: 0.5410\n",
            "Epoch 8711/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0199 - val_binary_accuracy: 0.5420\n",
            "Epoch 8712/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0202 - val_binary_accuracy: 0.5410\n",
            "Epoch 8713/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0200 - val_binary_accuracy: 0.5400\n",
            "Epoch 8714/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0204 - val_binary_accuracy: 0.5410\n",
            "Epoch 8715/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0200 - val_binary_accuracy: 0.5400\n",
            "Epoch 8716/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0205 - val_binary_accuracy: 0.5420\n",
            "Epoch 8717/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0200 - val_binary_accuracy: 0.5400\n",
            "Epoch 8718/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0206 - val_binary_accuracy: 0.5410\n",
            "Epoch 8719/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0201 - val_binary_accuracy: 0.5400\n",
            "Epoch 8720/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0206 - val_binary_accuracy: 0.5410\n",
            "Epoch 8721/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0203 - val_binary_accuracy: 0.5400\n",
            "Epoch 8722/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0208 - val_binary_accuracy: 0.5410\n",
            "Epoch 8723/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0205 - val_binary_accuracy: 0.5420\n",
            "Epoch 8724/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0208 - val_binary_accuracy: 0.5410\n",
            "Epoch 8725/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0205 - val_binary_accuracy: 0.5400\n",
            "Epoch 8726/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0210 - val_binary_accuracy: 0.5410\n",
            "Epoch 8727/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0206 - val_binary_accuracy: 0.5400\n",
            "Epoch 8728/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0211 - val_binary_accuracy: 0.5420\n",
            "Epoch 8729/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0206 - val_binary_accuracy: 0.5400\n",
            "Epoch 8730/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0211 - val_binary_accuracy: 0.5420\n",
            "Epoch 8731/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0207 - val_binary_accuracy: 0.5400\n",
            "Epoch 8732/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0212 - val_binary_accuracy: 0.5410\n",
            "Epoch 8733/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0210 - val_binary_accuracy: 0.5400\n",
            "Epoch 8734/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0213 - val_binary_accuracy: 0.5410\n",
            "Epoch 8735/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0210 - val_binary_accuracy: 0.5400\n",
            "Epoch 8736/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0215 - val_binary_accuracy: 0.5410\n",
            "Epoch 8737/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0212 - val_binary_accuracy: 0.5400\n",
            "Epoch 8738/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0216 - val_binary_accuracy: 0.5410\n",
            "Epoch 8739/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0211 - val_binary_accuracy: 0.5400\n",
            "Epoch 8740/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0218 - val_binary_accuracy: 0.5420\n",
            "Epoch 8741/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0212 - val_binary_accuracy: 0.5400\n",
            "Epoch 8742/10000\n",
            "401/401 [==============================] - 0s 51us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0217 - val_binary_accuracy: 0.5420\n",
            "Epoch 8743/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0212 - val_binary_accuracy: 0.5400\n",
            "Epoch 8744/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0218 - val_binary_accuracy: 0.5410\n",
            "Epoch 8745/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0215 - val_binary_accuracy: 0.5400\n",
            "Epoch 8746/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0219 - val_binary_accuracy: 0.5410\n",
            "Epoch 8747/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0216 - val_binary_accuracy: 0.5400\n",
            "Epoch 8748/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0221 - val_binary_accuracy: 0.5410\n",
            "Epoch 8749/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0217 - val_binary_accuracy: 0.5400\n",
            "Epoch 8750/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0222 - val_binary_accuracy: 0.5420\n",
            "Epoch 8751/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0217 - val_binary_accuracy: 0.5400\n",
            "Epoch 8752/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0224 - val_binary_accuracy: 0.5420\n",
            "Epoch 8753/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0218 - val_binary_accuracy: 0.5400\n",
            "Epoch 8754/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5363 - binary_accuracy: 0.6708 - val_loss: 1.0224 - val_binary_accuracy: 0.5420\n",
            "Epoch 8755/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0220 - val_binary_accuracy: 0.5400\n",
            "Epoch 8756/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0225 - val_binary_accuracy: 0.5410\n",
            "Epoch 8757/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0222 - val_binary_accuracy: 0.5400\n",
            "Epoch 8758/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0225 - val_binary_accuracy: 0.5410\n",
            "Epoch 8759/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0222 - val_binary_accuracy: 0.5400\n",
            "Epoch 8760/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0227 - val_binary_accuracy: 0.5410\n",
            "Epoch 8761/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0223 - val_binary_accuracy: 0.5400\n",
            "Epoch 8762/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0228 - val_binary_accuracy: 0.5420\n",
            "Epoch 8763/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0223 - val_binary_accuracy: 0.5400\n",
            "Epoch 8764/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0230 - val_binary_accuracy: 0.5420\n",
            "Epoch 8765/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0224 - val_binary_accuracy: 0.5400\n",
            "Epoch 8766/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0230 - val_binary_accuracy: 0.5420\n",
            "Epoch 8767/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0226 - val_binary_accuracy: 0.5400\n",
            "Epoch 8768/10000\n",
            "401/401 [==============================] - 0s 58us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0231 - val_binary_accuracy: 0.5410\n",
            "Epoch 8769/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0229 - val_binary_accuracy: 0.5420\n",
            "Epoch 8770/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0231 - val_binary_accuracy: 0.5410\n",
            "Epoch 8771/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0229 - val_binary_accuracy: 0.5400\n",
            "Epoch 8772/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0233 - val_binary_accuracy: 0.5410\n",
            "Epoch 8773/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0229 - val_binary_accuracy: 0.5400\n",
            "Epoch 8774/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0236 - val_binary_accuracy: 0.5420\n",
            "Epoch 8775/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0229 - val_binary_accuracy: 0.5400\n",
            "Epoch 8776/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0236 - val_binary_accuracy: 0.5420\n",
            "Epoch 8777/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0230 - val_binary_accuracy: 0.5400\n",
            "Epoch 8778/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0236 - val_binary_accuracy: 0.5410\n",
            "Epoch 8779/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0233 - val_binary_accuracy: 0.5400\n",
            "Epoch 8780/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0237 - val_binary_accuracy: 0.5410\n",
            "Epoch 8781/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0234 - val_binary_accuracy: 0.5400\n",
            "Epoch 8782/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0238 - val_binary_accuracy: 0.5410\n",
            "Epoch 8783/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0235 - val_binary_accuracy: 0.5400\n",
            "Epoch 8784/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0239 - val_binary_accuracy: 0.5420\n",
            "Epoch 8785/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0235 - val_binary_accuracy: 0.5400\n",
            "Epoch 8786/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0241 - val_binary_accuracy: 0.5420\n",
            "Epoch 8787/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0236 - val_binary_accuracy: 0.5400\n",
            "Epoch 8788/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0242 - val_binary_accuracy: 0.5420\n",
            "Epoch 8789/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0236 - val_binary_accuracy: 0.5400\n",
            "Epoch 8790/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0243 - val_binary_accuracy: 0.5410\n",
            "Epoch 8791/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0239 - val_binary_accuracy: 0.5400\n",
            "Epoch 8792/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0243 - val_binary_accuracy: 0.5410\n",
            "Epoch 8793/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0240 - val_binary_accuracy: 0.5400\n",
            "Epoch 8794/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0244 - val_binary_accuracy: 0.5410\n",
            "Epoch 8795/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0242 - val_binary_accuracy: 0.5400\n",
            "Epoch 8796/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0245 - val_binary_accuracy: 0.5420\n",
            "Epoch 8797/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0241 - val_binary_accuracy: 0.5400\n",
            "Epoch 8798/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0248 - val_binary_accuracy: 0.5420\n",
            "Epoch 8799/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0242 - val_binary_accuracy: 0.5400\n",
            "Epoch 8800/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0247 - val_binary_accuracy: 0.5420\n",
            "Epoch 8801/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0242 - val_binary_accuracy: 0.5400\n",
            "Epoch 8802/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0248 - val_binary_accuracy: 0.5420\n",
            "Epoch 8803/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0246 - val_binary_accuracy: 0.5400\n",
            "Epoch 8804/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0249 - val_binary_accuracy: 0.5410\n",
            "Epoch 8805/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0246 - val_binary_accuracy: 0.5400\n",
            "Epoch 8806/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0250 - val_binary_accuracy: 0.5410\n",
            "Epoch 8807/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0247 - val_binary_accuracy: 0.5400\n",
            "Epoch 8808/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0252 - val_binary_accuracy: 0.5420\n",
            "Epoch 8809/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0247 - val_binary_accuracy: 0.5400\n",
            "Epoch 8810/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0254 - val_binary_accuracy: 0.5420\n",
            "Epoch 8811/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0248 - val_binary_accuracy: 0.5400\n",
            "Epoch 8812/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5362 - binary_accuracy: 0.6708 - val_loss: 1.0254 - val_binary_accuracy: 0.5420\n",
            "Epoch 8813/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0249 - val_binary_accuracy: 0.5400\n",
            "Epoch 8814/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0255 - val_binary_accuracy: 0.5420\n",
            "Epoch 8815/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0252 - val_binary_accuracy: 0.5400\n",
            "Epoch 8816/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0255 - val_binary_accuracy: 0.5420\n",
            "Epoch 8817/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0253 - val_binary_accuracy: 0.5400\n",
            "Epoch 8818/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0257 - val_binary_accuracy: 0.5420\n",
            "Epoch 8819/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0253 - val_binary_accuracy: 0.5400\n",
            "Epoch 8820/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0258 - val_binary_accuracy: 0.5420\n",
            "Epoch 8821/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0253 - val_binary_accuracy: 0.5400\n",
            "Epoch 8822/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0260 - val_binary_accuracy: 0.5420\n",
            "Epoch 8823/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0254 - val_binary_accuracy: 0.5400\n",
            "Epoch 8824/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0260 - val_binary_accuracy: 0.5420\n",
            "Epoch 8825/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0255 - val_binary_accuracy: 0.5400\n",
            "Epoch 8826/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0261 - val_binary_accuracy: 0.5410\n",
            "Epoch 8827/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0258 - val_binary_accuracy: 0.5400\n",
            "Epoch 8828/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0261 - val_binary_accuracy: 0.5420\n",
            "Epoch 8829/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0258 - val_binary_accuracy: 0.5400\n",
            "Epoch 8830/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0262 - val_binary_accuracy: 0.5420\n",
            "Epoch 8831/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0259 - val_binary_accuracy: 0.5400\n",
            "Epoch 8832/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0265 - val_binary_accuracy: 0.5420\n",
            "Epoch 8833/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0259 - val_binary_accuracy: 0.5400\n",
            "Epoch 8834/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0265 - val_binary_accuracy: 0.5420\n",
            "Epoch 8835/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0260 - val_binary_accuracy: 0.5400\n",
            "Epoch 8836/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0266 - val_binary_accuracy: 0.5420\n",
            "Epoch 8837/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0262 - val_binary_accuracy: 0.5400\n",
            "Epoch 8838/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0266 - val_binary_accuracy: 0.5420\n",
            "Epoch 8839/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0264 - val_binary_accuracy: 0.5400\n",
            "Epoch 8840/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0268 - val_binary_accuracy: 0.5410\n",
            "Epoch 8841/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0265 - val_binary_accuracy: 0.5400\n",
            "Epoch 8842/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0269 - val_binary_accuracy: 0.5420\n",
            "Epoch 8843/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0265 - val_binary_accuracy: 0.5400\n",
            "Epoch 8844/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0272 - val_binary_accuracy: 0.5420\n",
            "Epoch 8845/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0266 - val_binary_accuracy: 0.5400\n",
            "Epoch 8846/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0272 - val_binary_accuracy: 0.5420\n",
            "Epoch 8847/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0267 - val_binary_accuracy: 0.5400\n",
            "Epoch 8848/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0272 - val_binary_accuracy: 0.5420\n",
            "Epoch 8849/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0269 - val_binary_accuracy: 0.5400\n",
            "Epoch 8850/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0272 - val_binary_accuracy: 0.5420\n",
            "Epoch 8851/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0270 - val_binary_accuracy: 0.5420\n",
            "Epoch 8852/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0274 - val_binary_accuracy: 0.5420\n",
            "Epoch 8853/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0271 - val_binary_accuracy: 0.5400\n",
            "Epoch 8854/10000\n",
            "401/401 [==============================] - 0s 52us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0275 - val_binary_accuracy: 0.5420\n",
            "Epoch 8855/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0271 - val_binary_accuracy: 0.5400\n",
            "Epoch 8856/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0277 - val_binary_accuracy: 0.5420\n",
            "Epoch 8857/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0271 - val_binary_accuracy: 0.5400\n",
            "Epoch 8858/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0277 - val_binary_accuracy: 0.5420\n",
            "Epoch 8859/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0271 - val_binary_accuracy: 0.5400\n",
            "Epoch 8860/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0278 - val_binary_accuracy: 0.5420\n",
            "Epoch 8861/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0274 - val_binary_accuracy: 0.5400\n",
            "Epoch 8862/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0278 - val_binary_accuracy: 0.5420\n",
            "Epoch 8863/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0276 - val_binary_accuracy: 0.5420\n",
            "Epoch 8864/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0280 - val_binary_accuracy: 0.5420\n",
            "Epoch 8865/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0277 - val_binary_accuracy: 0.5400\n",
            "Epoch 8866/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0281 - val_binary_accuracy: 0.5420\n",
            "Epoch 8867/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0277 - val_binary_accuracy: 0.5400\n",
            "Epoch 8868/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0283 - val_binary_accuracy: 0.5420\n",
            "Epoch 8869/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0277 - val_binary_accuracy: 0.5400\n",
            "Epoch 8870/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5361 - binary_accuracy: 0.6708 - val_loss: 1.0284 - val_binary_accuracy: 0.5420\n",
            "Epoch 8871/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0278 - val_binary_accuracy: 0.5400\n",
            "Epoch 8872/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0285 - val_binary_accuracy: 0.5420\n",
            "Epoch 8873/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0281 - val_binary_accuracy: 0.5400\n",
            "Epoch 8874/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0285 - val_binary_accuracy: 0.5420\n",
            "Epoch 8875/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0282 - val_binary_accuracy: 0.5400\n",
            "Epoch 8876/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0286 - val_binary_accuracy: 0.5420\n",
            "Epoch 8877/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0283 - val_binary_accuracy: 0.5400\n",
            "Epoch 8878/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0287 - val_binary_accuracy: 0.5420\n",
            "Epoch 8879/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0283 - val_binary_accuracy: 0.5400\n",
            "Epoch 8880/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0289 - val_binary_accuracy: 0.5420\n",
            "Epoch 8881/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0283 - val_binary_accuracy: 0.5400\n",
            "Epoch 8882/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0290 - val_binary_accuracy: 0.5420\n",
            "Epoch 8883/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0285 - val_binary_accuracy: 0.5400\n",
            "Epoch 8884/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0290 - val_binary_accuracy: 0.5420\n",
            "Epoch 8885/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0286 - val_binary_accuracy: 0.5400\n",
            "Epoch 8886/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0291 - val_binary_accuracy: 0.5420\n",
            "Epoch 8887/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0288 - val_binary_accuracy: 0.5400\n",
            "Epoch 8888/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0291 - val_binary_accuracy: 0.5420\n",
            "Epoch 8889/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0288 - val_binary_accuracy: 0.5400\n",
            "Epoch 8890/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0293 - val_binary_accuracy: 0.5420\n",
            "Epoch 8891/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0289 - val_binary_accuracy: 0.5400\n",
            "Epoch 8892/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0295 - val_binary_accuracy: 0.5420\n",
            "Epoch 8893/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0289 - val_binary_accuracy: 0.5400\n",
            "Epoch 8894/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0296 - val_binary_accuracy: 0.5420\n",
            "Epoch 8895/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0291 - val_binary_accuracy: 0.5400\n",
            "Epoch 8896/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0296 - val_binary_accuracy: 0.5420\n",
            "Epoch 8897/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0293 - val_binary_accuracy: 0.5400\n",
            "Epoch 8898/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0297 - val_binary_accuracy: 0.5420\n",
            "Epoch 8899/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0295 - val_binary_accuracy: 0.5400\n",
            "Epoch 8900/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0298 - val_binary_accuracy: 0.5420\n",
            "Epoch 8901/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0295 - val_binary_accuracy: 0.5400\n",
            "Epoch 8902/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0299 - val_binary_accuracy: 0.5420\n",
            "Epoch 8903/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0295 - val_binary_accuracy: 0.5400\n",
            "Epoch 8904/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0301 - val_binary_accuracy: 0.5420\n",
            "Epoch 8905/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0295 - val_binary_accuracy: 0.5400\n",
            "Epoch 8906/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0301 - val_binary_accuracy: 0.5420\n",
            "Epoch 8907/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0297 - val_binary_accuracy: 0.5400\n",
            "Epoch 8908/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0303 - val_binary_accuracy: 0.5420\n",
            "Epoch 8909/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0299 - val_binary_accuracy: 0.5400\n",
            "Epoch 8910/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0303 - val_binary_accuracy: 0.5420\n",
            "Epoch 8911/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0300 - val_binary_accuracy: 0.5400\n",
            "Epoch 8912/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0304 - val_binary_accuracy: 0.5420\n",
            "Epoch 8913/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0301 - val_binary_accuracy: 0.5400\n",
            "Epoch 8914/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0306 - val_binary_accuracy: 0.5420\n",
            "Epoch 8915/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0300 - val_binary_accuracy: 0.5400\n",
            "Epoch 8916/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0307 - val_binary_accuracy: 0.5420\n",
            "Epoch 8917/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0302 - val_binary_accuracy: 0.5400\n",
            "Epoch 8918/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5360 - binary_accuracy: 0.6708 - val_loss: 1.0307 - val_binary_accuracy: 0.5420\n",
            "Epoch 8919/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0303 - val_binary_accuracy: 0.5400\n",
            "Epoch 8920/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0308 - val_binary_accuracy: 0.5420\n",
            "Epoch 8921/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0306 - val_binary_accuracy: 0.5400\n",
            "Epoch 8922/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0308 - val_binary_accuracy: 0.5420\n",
            "Epoch 8923/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0305 - val_binary_accuracy: 0.5400\n",
            "Epoch 8924/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0310 - val_binary_accuracy: 0.5420\n",
            "Epoch 8925/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0307 - val_binary_accuracy: 0.5400\n",
            "Epoch 8926/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0312 - val_binary_accuracy: 0.5420\n",
            "Epoch 8927/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0306 - val_binary_accuracy: 0.5400\n",
            "Epoch 8928/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0313 - val_binary_accuracy: 0.5420\n",
            "Epoch 8929/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0308 - val_binary_accuracy: 0.5400\n",
            "Epoch 8930/10000\n",
            "401/401 [==============================] - 0s 56us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0313 - val_binary_accuracy: 0.5420\n",
            "Epoch 8931/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0309 - val_binary_accuracy: 0.5400\n",
            "Epoch 8932/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0314 - val_binary_accuracy: 0.5420\n",
            "Epoch 8933/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0311 - val_binary_accuracy: 0.5400\n",
            "Epoch 8934/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0315 - val_binary_accuracy: 0.5420\n",
            "Epoch 8935/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0312 - val_binary_accuracy: 0.5400\n",
            "Epoch 8936/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0317 - val_binary_accuracy: 0.5420\n",
            "Epoch 8937/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0312 - val_binary_accuracy: 0.5400\n",
            "Epoch 8938/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0317 - val_binary_accuracy: 0.5420\n",
            "Epoch 8939/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0312 - val_binary_accuracy: 0.5400\n",
            "Epoch 8940/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0318 - val_binary_accuracy: 0.5420\n",
            "Epoch 8941/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0313 - val_binary_accuracy: 0.5400\n",
            "Epoch 8942/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0319 - val_binary_accuracy: 0.5420\n",
            "Epoch 8943/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0316 - val_binary_accuracy: 0.5400\n",
            "Epoch 8944/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0320 - val_binary_accuracy: 0.5420\n",
            "Epoch 8945/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0317 - val_binary_accuracy: 0.5400\n",
            "Epoch 8946/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0321 - val_binary_accuracy: 0.5420\n",
            "Epoch 8947/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0318 - val_binary_accuracy: 0.5400\n",
            "Epoch 8948/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0322 - val_binary_accuracy: 0.5420\n",
            "Epoch 8949/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0318 - val_binary_accuracy: 0.5400\n",
            "Epoch 8950/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0324 - val_binary_accuracy: 0.5420\n",
            "Epoch 8951/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0318 - val_binary_accuracy: 0.5400\n",
            "Epoch 8952/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0324 - val_binary_accuracy: 0.5420\n",
            "Epoch 8953/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0319 - val_binary_accuracy: 0.5400\n",
            "Epoch 8954/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0325 - val_binary_accuracy: 0.5420\n",
            "Epoch 8955/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0322 - val_binary_accuracy: 0.5400\n",
            "Epoch 8956/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0325 - val_binary_accuracy: 0.5420\n",
            "Epoch 8957/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0323 - val_binary_accuracy: 0.5400\n",
            "Epoch 8958/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0327 - val_binary_accuracy: 0.5420\n",
            "Epoch 8959/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0324 - val_binary_accuracy: 0.5400\n",
            "Epoch 8960/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0328 - val_binary_accuracy: 0.5420\n",
            "Epoch 8961/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0324 - val_binary_accuracy: 0.5400\n",
            "Epoch 8962/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0330 - val_binary_accuracy: 0.5420\n",
            "Epoch 8963/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0324 - val_binary_accuracy: 0.5400\n",
            "Epoch 8964/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0331 - val_binary_accuracy: 0.5420\n",
            "Epoch 8965/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0326 - val_binary_accuracy: 0.5400\n",
            "Epoch 8966/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0331 - val_binary_accuracy: 0.5420\n",
            "Epoch 8967/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0327 - val_binary_accuracy: 0.5400\n",
            "Epoch 8968/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0332 - val_binary_accuracy: 0.5420\n",
            "Epoch 8969/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0329 - val_binary_accuracy: 0.5400\n",
            "Epoch 8970/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0333 - val_binary_accuracy: 0.5420\n",
            "Epoch 8971/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0329 - val_binary_accuracy: 0.5400\n",
            "Epoch 8972/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0335 - val_binary_accuracy: 0.5420\n",
            "Epoch 8973/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0330 - val_binary_accuracy: 0.5400\n",
            "Epoch 8974/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0336 - val_binary_accuracy: 0.5420\n",
            "Epoch 8975/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0329 - val_binary_accuracy: 0.5400\n",
            "Epoch 8976/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0337 - val_binary_accuracy: 0.5420\n",
            "Epoch 8977/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5359 - binary_accuracy: 0.6708 - val_loss: 1.0333 - val_binary_accuracy: 0.5400\n",
            "Epoch 8978/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0336 - val_binary_accuracy: 0.5420\n",
            "Epoch 8979/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0333 - val_binary_accuracy: 0.5400\n",
            "Epoch 8980/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0338 - val_binary_accuracy: 0.5420\n",
            "Epoch 8981/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0335 - val_binary_accuracy: 0.5400\n",
            "Epoch 8982/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0338 - val_binary_accuracy: 0.5420\n",
            "Epoch 8983/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0335 - val_binary_accuracy: 0.5400\n",
            "Epoch 8984/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0340 - val_binary_accuracy: 0.5420\n",
            "Epoch 8985/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0335 - val_binary_accuracy: 0.5400\n",
            "Epoch 8986/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0342 - val_binary_accuracy: 0.5420\n",
            "Epoch 8987/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0336 - val_binary_accuracy: 0.5400\n",
            "Epoch 8988/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0342 - val_binary_accuracy: 0.5420\n",
            "Epoch 8989/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0337 - val_binary_accuracy: 0.5400\n",
            "Epoch 8990/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0343 - val_binary_accuracy: 0.5420\n",
            "Epoch 8991/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0340 - val_binary_accuracy: 0.5400\n",
            "Epoch 8992/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0343 - val_binary_accuracy: 0.5420\n",
            "Epoch 8993/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0340 - val_binary_accuracy: 0.5400\n",
            "Epoch 8994/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0345 - val_binary_accuracy: 0.5420\n",
            "Epoch 8995/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0342 - val_binary_accuracy: 0.5400\n",
            "Epoch 8996/10000\n",
            "401/401 [==============================] - 0s 29us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0346 - val_binary_accuracy: 0.5420\n",
            "Epoch 8997/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0341 - val_binary_accuracy: 0.5400\n",
            "Epoch 8998/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0347 - val_binary_accuracy: 0.5420\n",
            "Epoch 8999/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0341 - val_binary_accuracy: 0.5400\n",
            "Epoch 9000/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0348 - val_binary_accuracy: 0.5420\n",
            "Epoch 9001/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0343 - val_binary_accuracy: 0.5400\n",
            "Epoch 9002/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0348 - val_binary_accuracy: 0.5420\n",
            "Epoch 9003/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0345 - val_binary_accuracy: 0.5400\n",
            "Epoch 9004/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0350 - val_binary_accuracy: 0.5420\n",
            "Epoch 9005/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0347 - val_binary_accuracy: 0.5400\n",
            "Epoch 9006/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0350 - val_binary_accuracy: 0.5420\n",
            "Epoch 9007/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0347 - val_binary_accuracy: 0.5400\n",
            "Epoch 9008/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0352 - val_binary_accuracy: 0.5420\n",
            "Epoch 9009/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0347 - val_binary_accuracy: 0.5400\n",
            "Epoch 9010/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0354 - val_binary_accuracy: 0.5420\n",
            "Epoch 9011/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0348 - val_binary_accuracy: 0.5400\n",
            "Epoch 9012/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0354 - val_binary_accuracy: 0.5420\n",
            "Epoch 9013/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0350 - val_binary_accuracy: 0.5400\n",
            "Epoch 9014/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0354 - val_binary_accuracy: 0.5420\n",
            "Epoch 9015/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0351 - val_binary_accuracy: 0.5400\n",
            "Epoch 9016/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0356 - val_binary_accuracy: 0.5420\n",
            "Epoch 9017/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0353 - val_binary_accuracy: 0.5400\n",
            "Epoch 9018/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0357 - val_binary_accuracy: 0.5420\n",
            "Epoch 9019/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0353 - val_binary_accuracy: 0.5400\n",
            "Epoch 9020/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0358 - val_binary_accuracy: 0.5420\n",
            "Epoch 9021/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0353 - val_binary_accuracy: 0.5400\n",
            "Epoch 9022/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0360 - val_binary_accuracy: 0.5420\n",
            "Epoch 9023/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0354 - val_binary_accuracy: 0.5400\n",
            "Epoch 9024/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0359 - val_binary_accuracy: 0.5420\n",
            "Epoch 9025/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0355 - val_binary_accuracy: 0.5400\n",
            "Epoch 9026/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0361 - val_binary_accuracy: 0.5420\n",
            "Epoch 9027/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0358 - val_binary_accuracy: 0.5400\n",
            "Epoch 9028/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0361 - val_binary_accuracy: 0.5420\n",
            "Epoch 9029/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0358 - val_binary_accuracy: 0.5400\n",
            "Epoch 9030/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0362 - val_binary_accuracy: 0.5420\n",
            "Epoch 9031/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0359 - val_binary_accuracy: 0.5400\n",
            "Epoch 9032/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0364 - val_binary_accuracy: 0.5420\n",
            "Epoch 9033/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0359 - val_binary_accuracy: 0.5390\n",
            "Epoch 9034/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0366 - val_binary_accuracy: 0.5420\n",
            "Epoch 9035/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0360 - val_binary_accuracy: 0.5390\n",
            "Epoch 9036/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5358 - binary_accuracy: 0.6708 - val_loss: 1.0365 - val_binary_accuracy: 0.5420\n",
            "Epoch 9037/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0360 - val_binary_accuracy: 0.5400\n",
            "Epoch 9038/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0366 - val_binary_accuracy: 0.5420\n",
            "Epoch 9039/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0363 - val_binary_accuracy: 0.5400\n",
            "Epoch 9040/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0367 - val_binary_accuracy: 0.5420\n",
            "Epoch 9041/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0364 - val_binary_accuracy: 0.5400\n",
            "Epoch 9042/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0368 - val_binary_accuracy: 0.5420\n",
            "Epoch 9043/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0365 - val_binary_accuracy: 0.5400\n",
            "Epoch 9044/10000\n",
            "401/401 [==============================] - 0s 58us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0370 - val_binary_accuracy: 0.5420\n",
            "Epoch 9045/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0364 - val_binary_accuracy: 0.5390\n",
            "Epoch 9046/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0371 - val_binary_accuracy: 0.5420\n",
            "Epoch 9047/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0365 - val_binary_accuracy: 0.5390\n",
            "Epoch 9048/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0372 - val_binary_accuracy: 0.5420\n",
            "Epoch 9049/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0368 - val_binary_accuracy: 0.5400\n",
            "Epoch 9050/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0372 - val_binary_accuracy: 0.5420\n",
            "Epoch 9051/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0369 - val_binary_accuracy: 0.5400\n",
            "Epoch 9052/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0373 - val_binary_accuracy: 0.5420\n",
            "Epoch 9053/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0370 - val_binary_accuracy: 0.5400\n",
            "Epoch 9054/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0374 - val_binary_accuracy: 0.5420\n",
            "Epoch 9055/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0370 - val_binary_accuracy: 0.5390\n",
            "Epoch 9056/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0375 - val_binary_accuracy: 0.5420\n",
            "Epoch 9057/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0370 - val_binary_accuracy: 0.5390\n",
            "Epoch 9058/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0377 - val_binary_accuracy: 0.5420\n",
            "Epoch 9059/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0372 - val_binary_accuracy: 0.5390\n",
            "Epoch 9060/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0377 - val_binary_accuracy: 0.5420\n",
            "Epoch 9061/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0373 - val_binary_accuracy: 0.5400\n",
            "Epoch 9062/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0378 - val_binary_accuracy: 0.5420\n",
            "Epoch 9063/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0375 - val_binary_accuracy: 0.5400\n",
            "Epoch 9064/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0378 - val_binary_accuracy: 0.5420\n",
            "Epoch 9065/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0375 - val_binary_accuracy: 0.5400\n",
            "Epoch 9066/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0380 - val_binary_accuracy: 0.5420\n",
            "Epoch 9067/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0376 - val_binary_accuracy: 0.5390\n",
            "Epoch 9068/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0382 - val_binary_accuracy: 0.5420\n",
            "Epoch 9069/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0376 - val_binary_accuracy: 0.5390\n",
            "Epoch 9070/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0383 - val_binary_accuracy: 0.5420\n",
            "Epoch 9071/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0378 - val_binary_accuracy: 0.5390\n",
            "Epoch 9072/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0383 - val_binary_accuracy: 0.5420\n",
            "Epoch 9073/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0379 - val_binary_accuracy: 0.5400\n",
            "Epoch 9074/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0383 - val_binary_accuracy: 0.5420\n",
            "Epoch 9075/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0380 - val_binary_accuracy: 0.5400\n",
            "Epoch 9076/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0385 - val_binary_accuracy: 0.5420\n",
            "Epoch 9077/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0382 - val_binary_accuracy: 0.5390\n",
            "Epoch 9078/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0386 - val_binary_accuracy: 0.5420\n",
            "Epoch 9079/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0381 - val_binary_accuracy: 0.5390\n",
            "Epoch 9080/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0387 - val_binary_accuracy: 0.5420\n",
            "Epoch 9081/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0382 - val_binary_accuracy: 0.5390\n",
            "Epoch 9082/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0388 - val_binary_accuracy: 0.5420\n",
            "Epoch 9083/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0384 - val_binary_accuracy: 0.5390\n",
            "Epoch 9084/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0388 - val_binary_accuracy: 0.5420\n",
            "Epoch 9085/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0386 - val_binary_accuracy: 0.5390\n",
            "Epoch 9086/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0389 - val_binary_accuracy: 0.5420\n",
            "Epoch 9087/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0386 - val_binary_accuracy: 0.5390\n",
            "Epoch 9088/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0391 - val_binary_accuracy: 0.5420\n",
            "Epoch 9089/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0388 - val_binary_accuracy: 0.5390\n",
            "Epoch 9090/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0391 - val_binary_accuracy: 0.5420\n",
            "Epoch 9091/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0386 - val_binary_accuracy: 0.5390\n",
            "Epoch 9092/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0393 - val_binary_accuracy: 0.5420\n",
            "Epoch 9093/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0388 - val_binary_accuracy: 0.5390\n",
            "Epoch 9094/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0393 - val_binary_accuracy: 0.5420\n",
            "Epoch 9095/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0389 - val_binary_accuracy: 0.5390\n",
            "Epoch 9096/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0394 - val_binary_accuracy: 0.5420\n",
            "Epoch 9097/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0391 - val_binary_accuracy: 0.5400\n",
            "Epoch 9098/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0394 - val_binary_accuracy: 0.5420\n",
            "Epoch 9099/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0391 - val_binary_accuracy: 0.5390\n",
            "Epoch 9100/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0396 - val_binary_accuracy: 0.5420\n",
            "Epoch 9101/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0392 - val_binary_accuracy: 0.5390\n",
            "Epoch 9102/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0398 - val_binary_accuracy: 0.5420\n",
            "Epoch 9103/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0392 - val_binary_accuracy: 0.5390\n",
            "Epoch 9104/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0399 - val_binary_accuracy: 0.5420\n",
            "Epoch 9105/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5357 - binary_accuracy: 0.6708 - val_loss: 1.0393 - val_binary_accuracy: 0.5390\n",
            "Epoch 9106/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0399 - val_binary_accuracy: 0.5420\n",
            "Epoch 9107/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0395 - val_binary_accuracy: 0.5390\n",
            "Epoch 9108/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0400 - val_binary_accuracy: 0.5420\n",
            "Epoch 9109/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0397 - val_binary_accuracy: 0.5390\n",
            "Epoch 9110/10000\n",
            "401/401 [==============================] - 0s 29us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0400 - val_binary_accuracy: 0.5420\n",
            "Epoch 9111/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0398 - val_binary_accuracy: 0.5400\n",
            "Epoch 9112/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0402 - val_binary_accuracy: 0.5420\n",
            "Epoch 9113/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0398 - val_binary_accuracy: 0.5390\n",
            "Epoch 9114/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0403 - val_binary_accuracy: 0.5420\n",
            "Epoch 9115/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0398 - val_binary_accuracy: 0.5390\n",
            "Epoch 9116/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0405 - val_binary_accuracy: 0.5420\n",
            "Epoch 9117/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0399 - val_binary_accuracy: 0.5390\n",
            "Epoch 9118/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0404 - val_binary_accuracy: 0.5420\n",
            "Epoch 9119/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0400 - val_binary_accuracy: 0.5390\n",
            "Epoch 9120/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0406 - val_binary_accuracy: 0.5420\n",
            "Epoch 9121/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0403 - val_binary_accuracy: 0.5400\n",
            "Epoch 9122/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0406 - val_binary_accuracy: 0.5420\n",
            "Epoch 9123/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0403 - val_binary_accuracy: 0.5390\n",
            "Epoch 9124/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0408 - val_binary_accuracy: 0.5420\n",
            "Epoch 9125/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0404 - val_binary_accuracy: 0.5390\n",
            "Epoch 9126/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0409 - val_binary_accuracy: 0.5420\n",
            "Epoch 9127/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0404 - val_binary_accuracy: 0.5390\n",
            "Epoch 9128/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0411 - val_binary_accuracy: 0.5420\n",
            "Epoch 9129/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0406 - val_binary_accuracy: 0.5390\n",
            "Epoch 9130/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0411 - val_binary_accuracy: 0.5420\n",
            "Epoch 9131/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0406 - val_binary_accuracy: 0.5390\n",
            "Epoch 9132/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0411 - val_binary_accuracy: 0.5420\n",
            "Epoch 9133/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0408 - val_binary_accuracy: 0.5400\n",
            "Epoch 9134/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0413 - val_binary_accuracy: 0.5420\n",
            "Epoch 9135/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0410 - val_binary_accuracy: 0.5390\n",
            "Epoch 9136/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0413 - val_binary_accuracy: 0.5420\n",
            "Epoch 9137/10000\n",
            "401/401 [==============================] - 0s 56us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0410 - val_binary_accuracy: 0.5390\n",
            "Epoch 9138/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0415 - val_binary_accuracy: 0.5420\n",
            "Epoch 9139/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0410 - val_binary_accuracy: 0.5390\n",
            "Epoch 9140/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0416 - val_binary_accuracy: 0.5420\n",
            "Epoch 9141/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0410 - val_binary_accuracy: 0.5390\n",
            "Epoch 9142/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0416 - val_binary_accuracy: 0.5420\n",
            "Epoch 9143/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0413 - val_binary_accuracy: 0.5390\n",
            "Epoch 9144/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0417 - val_binary_accuracy: 0.5420\n",
            "Epoch 9145/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0413 - val_binary_accuracy: 0.5400\n",
            "Epoch 9146/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0418 - val_binary_accuracy: 0.5420\n",
            "Epoch 9147/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0415 - val_binary_accuracy: 0.5390\n",
            "Epoch 9148/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0419 - val_binary_accuracy: 0.5420\n",
            "Epoch 9149/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0415 - val_binary_accuracy: 0.5390\n",
            "Epoch 9150/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0420 - val_binary_accuracy: 0.5420\n",
            "Epoch 9151/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0415 - val_binary_accuracy: 0.5390\n",
            "Epoch 9152/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0422 - val_binary_accuracy: 0.5420\n",
            "Epoch 9153/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0417 - val_binary_accuracy: 0.5390\n",
            "Epoch 9154/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0421 - val_binary_accuracy: 0.5420\n",
            "Epoch 9155/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0417 - val_binary_accuracy: 0.5400\n",
            "Epoch 9156/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0423 - val_binary_accuracy: 0.5420\n",
            "Epoch 9157/10000\n",
            "401/401 [==============================] - 0s 52us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0419 - val_binary_accuracy: 0.5400\n",
            "Epoch 9158/10000\n",
            "401/401 [==============================] - 0s 30us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0423 - val_binary_accuracy: 0.5420\n",
            "Epoch 9159/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0420 - val_binary_accuracy: 0.5400\n",
            "Epoch 9160/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0425 - val_binary_accuracy: 0.5420\n",
            "Epoch 9161/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0421 - val_binary_accuracy: 0.5390\n",
            "Epoch 9162/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0426 - val_binary_accuracy: 0.5420\n",
            "Epoch 9163/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0420 - val_binary_accuracy: 0.5390\n",
            "Epoch 9164/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0426 - val_binary_accuracy: 0.5420\n",
            "Epoch 9165/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5356 - binary_accuracy: 0.6708 - val_loss: 1.0422 - val_binary_accuracy: 0.5390\n",
            "Epoch 9166/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0428 - val_binary_accuracy: 0.5420\n",
            "Epoch 9167/10000\n",
            "401/401 [==============================] - 0s 50us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0424 - val_binary_accuracy: 0.5400\n",
            "Epoch 9168/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0428 - val_binary_accuracy: 0.5420\n",
            "Epoch 9169/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0425 - val_binary_accuracy: 0.5400\n",
            "Epoch 9170/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0429 - val_binary_accuracy: 0.5420\n",
            "Epoch 9171/10000\n",
            "401/401 [==============================] - 0s 58us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0425 - val_binary_accuracy: 0.5390\n",
            "Epoch 9172/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0431 - val_binary_accuracy: 0.5420\n",
            "Epoch 9173/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0426 - val_binary_accuracy: 0.5390\n",
            "Epoch 9174/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0432 - val_binary_accuracy: 0.5420\n",
            "Epoch 9175/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0426 - val_binary_accuracy: 0.5390\n",
            "Epoch 9176/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0432 - val_binary_accuracy: 0.5420\n",
            "Epoch 9177/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0429 - val_binary_accuracy: 0.5400\n",
            "Epoch 9178/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0433 - val_binary_accuracy: 0.5420\n",
            "Epoch 9179/10000\n",
            "401/401 [==============================] - 0s 31us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0430 - val_binary_accuracy: 0.5400\n",
            "Epoch 9180/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0433 - val_binary_accuracy: 0.5420\n",
            "Epoch 9181/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0430 - val_binary_accuracy: 0.5400\n",
            "Epoch 9182/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0435 - val_binary_accuracy: 0.5420\n",
            "Epoch 9183/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0431 - val_binary_accuracy: 0.5390\n",
            "Epoch 9184/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0436 - val_binary_accuracy: 0.5420\n",
            "Epoch 9185/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0430 - val_binary_accuracy: 0.5390\n",
            "Epoch 9186/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0437 - val_binary_accuracy: 0.5420\n",
            "Epoch 9187/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0432 - val_binary_accuracy: 0.5390\n",
            "Epoch 9188/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0437 - val_binary_accuracy: 0.5420\n",
            "Epoch 9189/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0434 - val_binary_accuracy: 0.5400\n",
            "Epoch 9190/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0438 - val_binary_accuracy: 0.5420\n",
            "Epoch 9191/10000\n",
            "401/401 [==============================] - 0s 30us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0435 - val_binary_accuracy: 0.5400\n",
            "Epoch 9192/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0439 - val_binary_accuracy: 0.5420\n",
            "Epoch 9193/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0435 - val_binary_accuracy: 0.5400\n",
            "Epoch 9194/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0441 - val_binary_accuracy: 0.5420\n",
            "Epoch 9195/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0437 - val_binary_accuracy: 0.5390\n",
            "Epoch 9196/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0441 - val_binary_accuracy: 0.5420\n",
            "Epoch 9197/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0435 - val_binary_accuracy: 0.5390\n",
            "Epoch 9198/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0443 - val_binary_accuracy: 0.5420\n",
            "Epoch 9199/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0438 - val_binary_accuracy: 0.5390\n",
            "Epoch 9200/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0443 - val_binary_accuracy: 0.5420\n",
            "Epoch 9201/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0439 - val_binary_accuracy: 0.5400\n",
            "Epoch 9202/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0443 - val_binary_accuracy: 0.5420\n",
            "Epoch 9203/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0440 - val_binary_accuracy: 0.5400\n",
            "Epoch 9204/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0445 - val_binary_accuracy: 0.5410\n",
            "Epoch 9205/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0441 - val_binary_accuracy: 0.5400\n",
            "Epoch 9206/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0446 - val_binary_accuracy: 0.5420\n",
            "Epoch 9207/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0441 - val_binary_accuracy: 0.5390\n",
            "Epoch 9208/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0447 - val_binary_accuracy: 0.5420\n",
            "Epoch 9209/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0441 - val_binary_accuracy: 0.5390\n",
            "Epoch 9210/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0448 - val_binary_accuracy: 0.5420\n",
            "Epoch 9211/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0444 - val_binary_accuracy: 0.5400\n",
            "Epoch 9212/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0448 - val_binary_accuracy: 0.5420\n",
            "Epoch 9213/10000\n",
            "401/401 [==============================] - 0s 65us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0445 - val_binary_accuracy: 0.5400\n",
            "Epoch 9214/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0449 - val_binary_accuracy: 0.5410\n",
            "Epoch 9215/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0446 - val_binary_accuracy: 0.5400\n",
            "Epoch 9216/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0451 - val_binary_accuracy: 0.5410\n",
            "Epoch 9217/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0446 - val_binary_accuracy: 0.5400\n",
            "Epoch 9218/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0451 - val_binary_accuracy: 0.5420\n",
            "Epoch 9219/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0447 - val_binary_accuracy: 0.5390\n",
            "Epoch 9220/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0453 - val_binary_accuracy: 0.5420\n",
            "Epoch 9221/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0448 - val_binary_accuracy: 0.5390\n",
            "Epoch 9222/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0453 - val_binary_accuracy: 0.5420\n",
            "Epoch 9223/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0449 - val_binary_accuracy: 0.5400\n",
            "Epoch 9224/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0454 - val_binary_accuracy: 0.5410\n",
            "Epoch 9225/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0451 - val_binary_accuracy: 0.5400\n",
            "Epoch 9226/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0455 - val_binary_accuracy: 0.5410\n",
            "Epoch 9227/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0452 - val_binary_accuracy: 0.5400\n",
            "Epoch 9228/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0457 - val_binary_accuracy: 0.5410\n",
            "Epoch 9229/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0453 - val_binary_accuracy: 0.5400\n",
            "Epoch 9230/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0458 - val_binary_accuracy: 0.5410\n",
            "Epoch 9231/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0452 - val_binary_accuracy: 0.5390\n",
            "Epoch 9232/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0458 - val_binary_accuracy: 0.5420\n",
            "Epoch 9233/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5355 - binary_accuracy: 0.6708 - val_loss: 1.0453 - val_binary_accuracy: 0.5390\n",
            "Epoch 9234/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0459 - val_binary_accuracy: 0.5410\n",
            "Epoch 9235/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0455 - val_binary_accuracy: 0.5400\n",
            "Epoch 9236/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0459 - val_binary_accuracy: 0.5410\n",
            "Epoch 9237/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0457 - val_binary_accuracy: 0.5400\n",
            "Epoch 9238/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0460 - val_binary_accuracy: 0.5410\n",
            "Epoch 9239/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0458 - val_binary_accuracy: 0.5400\n",
            "Epoch 9240/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0462 - val_binary_accuracy: 0.5410\n",
            "Epoch 9241/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0458 - val_binary_accuracy: 0.5400\n",
            "Epoch 9242/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0464 - val_binary_accuracy: 0.5410\n",
            "Epoch 9243/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0458 - val_binary_accuracy: 0.5390\n",
            "Epoch 9244/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0464 - val_binary_accuracy: 0.5420\n",
            "Epoch 9245/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0458 - val_binary_accuracy: 0.5390\n",
            "Epoch 9246/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0465 - val_binary_accuracy: 0.5410\n",
            "Epoch 9247/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0462 - val_binary_accuracy: 0.5400\n",
            "Epoch 9248/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0465 - val_binary_accuracy: 0.5410\n",
            "Epoch 9249/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0462 - val_binary_accuracy: 0.5400\n",
            "Epoch 9250/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0465 - val_binary_accuracy: 0.5410\n",
            "Epoch 9251/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0463 - val_binary_accuracy: 0.5400\n",
            "Epoch 9252/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0468 - val_binary_accuracy: 0.5410\n",
            "Epoch 9253/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0464 - val_binary_accuracy: 0.5400\n",
            "Epoch 9254/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0468 - val_binary_accuracy: 0.5420\n",
            "Epoch 9255/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0462 - val_binary_accuracy: 0.5400\n",
            "Epoch 9256/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0470 - val_binary_accuracy: 0.5410\n",
            "Epoch 9257/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0464 - val_binary_accuracy: 0.5400\n",
            "Epoch 9258/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0470 - val_binary_accuracy: 0.5410\n",
            "Epoch 9259/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0466 - val_binary_accuracy: 0.5400\n",
            "Epoch 9260/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0470 - val_binary_accuracy: 0.5410\n",
            "Epoch 9261/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0467 - val_binary_accuracy: 0.5400\n",
            "Epoch 9262/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0472 - val_binary_accuracy: 0.5410\n",
            "Epoch 9263/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0469 - val_binary_accuracy: 0.5400\n",
            "Epoch 9264/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0473 - val_binary_accuracy: 0.5410\n",
            "Epoch 9265/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0469 - val_binary_accuracy: 0.5400\n",
            "Epoch 9266/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0474 - val_binary_accuracy: 0.5410\n",
            "Epoch 9267/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0469 - val_binary_accuracy: 0.5400\n",
            "Epoch 9268/10000\n",
            "401/401 [==============================] - 0s 57us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0475 - val_binary_accuracy: 0.5410\n",
            "Epoch 9269/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0469 - val_binary_accuracy: 0.5400\n",
            "Epoch 9270/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0476 - val_binary_accuracy: 0.5410\n",
            "Epoch 9271/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0472 - val_binary_accuracy: 0.5400\n",
            "Epoch 9272/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0476 - val_binary_accuracy: 0.5410\n",
            "Epoch 9273/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0473 - val_binary_accuracy: 0.5400\n",
            "Epoch 9274/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0476 - val_binary_accuracy: 0.5410\n",
            "Epoch 9275/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0474 - val_binary_accuracy: 0.5400\n",
            "Epoch 9276/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0478 - val_binary_accuracy: 0.5410\n",
            "Epoch 9277/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0475 - val_binary_accuracy: 0.5400\n",
            "Epoch 9278/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0480 - val_binary_accuracy: 0.5410\n",
            "Epoch 9279/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0474 - val_binary_accuracy: 0.5400\n",
            "Epoch 9280/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0481 - val_binary_accuracy: 0.5410\n",
            "Epoch 9281/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0476 - val_binary_accuracy: 0.5400\n",
            "Epoch 9282/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0481 - val_binary_accuracy: 0.5410\n",
            "Epoch 9283/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0477 - val_binary_accuracy: 0.5400\n",
            "Epoch 9284/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0482 - val_binary_accuracy: 0.5410\n",
            "Epoch 9285/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0478 - val_binary_accuracy: 0.5400\n",
            "Epoch 9286/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0482 - val_binary_accuracy: 0.5410\n",
            "Epoch 9287/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0479 - val_binary_accuracy: 0.5400\n",
            "Epoch 9288/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0484 - val_binary_accuracy: 0.5410\n",
            "Epoch 9289/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0481 - val_binary_accuracy: 0.5400\n",
            "Epoch 9290/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0485 - val_binary_accuracy: 0.5410\n",
            "Epoch 9291/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0480 - val_binary_accuracy: 0.5400\n",
            "Epoch 9292/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0486 - val_binary_accuracy: 0.5410\n",
            "Epoch 9293/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0481 - val_binary_accuracy: 0.5400\n",
            "Epoch 9294/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0486 - val_binary_accuracy: 0.5410\n",
            "Epoch 9295/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0483 - val_binary_accuracy: 0.5400\n",
            "Epoch 9296/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0487 - val_binary_accuracy: 0.5410\n",
            "Epoch 9297/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0484 - val_binary_accuracy: 0.5400\n",
            "Epoch 9298/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0488 - val_binary_accuracy: 0.5410\n",
            "Epoch 9299/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0485 - val_binary_accuracy: 0.5400\n",
            "Epoch 9300/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0489 - val_binary_accuracy: 0.5410\n",
            "Epoch 9301/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0485 - val_binary_accuracy: 0.5400\n",
            "Epoch 9302/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0490 - val_binary_accuracy: 0.5410\n",
            "Epoch 9303/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0485 - val_binary_accuracy: 0.5360\n",
            "Epoch 9304/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5354 - binary_accuracy: 0.6708 - val_loss: 1.0491 - val_binary_accuracy: 0.5410\n",
            "Epoch 9305/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0487 - val_binary_accuracy: 0.5400\n",
            "Epoch 9306/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0492 - val_binary_accuracy: 0.5410\n",
            "Epoch 9307/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0489 - val_binary_accuracy: 0.5400\n",
            "Epoch 9308/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0492 - val_binary_accuracy: 0.5410\n",
            "Epoch 9309/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0489 - val_binary_accuracy: 0.5400\n",
            "Epoch 9310/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0493 - val_binary_accuracy: 0.5410\n",
            "Epoch 9311/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0491 - val_binary_accuracy: 0.5400\n",
            "Epoch 9312/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0493 - val_binary_accuracy: 0.5410\n",
            "Epoch 9313/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0489 - val_binary_accuracy: 0.5360\n",
            "Epoch 9314/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0496 - val_binary_accuracy: 0.5410\n",
            "Epoch 9315/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0490 - val_binary_accuracy: 0.5360\n",
            "Epoch 9316/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0496 - val_binary_accuracy: 0.5410\n",
            "Epoch 9317/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0491 - val_binary_accuracy: 0.5360\n",
            "Epoch 9318/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0496 - val_binary_accuracy: 0.5410\n",
            "Epoch 9319/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0493 - val_binary_accuracy: 0.5400\n",
            "Epoch 9320/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0498 - val_binary_accuracy: 0.5410\n",
            "Epoch 9321/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0495 - val_binary_accuracy: 0.5400\n",
            "Epoch 9322/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0498 - val_binary_accuracy: 0.5410\n",
            "Epoch 9323/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0495 - val_binary_accuracy: 0.5400\n",
            "Epoch 9324/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0500 - val_binary_accuracy: 0.5410\n",
            "Epoch 9325/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0495 - val_binary_accuracy: 0.5360\n",
            "Epoch 9326/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0501 - val_binary_accuracy: 0.5410\n",
            "Epoch 9327/10000\n",
            "401/401 [==============================] - 0s 64us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0495 - val_binary_accuracy: 0.5360\n",
            "Epoch 9328/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0502 - val_binary_accuracy: 0.5410\n",
            "Epoch 9329/10000\n",
            "401/401 [==============================] - 0s 30us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0497 - val_binary_accuracy: 0.5360\n",
            "Epoch 9330/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0502 - val_binary_accuracy: 0.5410\n",
            "Epoch 9331/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0499 - val_binary_accuracy: 0.5360\n",
            "Epoch 9332/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0502 - val_binary_accuracy: 0.5410\n",
            "Epoch 9333/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0500 - val_binary_accuracy: 0.5400\n",
            "Epoch 9334/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0504 - val_binary_accuracy: 0.5410\n",
            "Epoch 9335/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0501 - val_binary_accuracy: 0.5360\n",
            "Epoch 9336/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0505 - val_binary_accuracy: 0.5410\n",
            "Epoch 9337/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0501 - val_binary_accuracy: 0.5360\n",
            "Epoch 9338/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0507 - val_binary_accuracy: 0.5410\n",
            "Epoch 9339/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0501 - val_binary_accuracy: 0.5360\n",
            "Epoch 9340/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0507 - val_binary_accuracy: 0.5410\n",
            "Epoch 9341/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0502 - val_binary_accuracy: 0.5360\n",
            "Epoch 9342/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0507 - val_binary_accuracy: 0.5410\n",
            "Epoch 9343/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0504 - val_binary_accuracy: 0.5360\n",
            "Epoch 9344/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0508 - val_binary_accuracy: 0.5410\n",
            "Epoch 9345/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0505 - val_binary_accuracy: 0.5360\n",
            "Epoch 9346/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0509 - val_binary_accuracy: 0.5410\n",
            "Epoch 9347/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0507 - val_binary_accuracy: 0.5360\n",
            "Epoch 9348/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0510 - val_binary_accuracy: 0.5410\n",
            "Epoch 9349/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0506 - val_binary_accuracy: 0.5360\n",
            "Epoch 9350/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0512 - val_binary_accuracy: 0.5410\n",
            "Epoch 9351/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0506 - val_binary_accuracy: 0.5360\n",
            "Epoch 9352/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0513 - val_binary_accuracy: 0.5410\n",
            "Epoch 9353/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0507 - val_binary_accuracy: 0.5360\n",
            "Epoch 9354/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0512 - val_binary_accuracy: 0.5410\n",
            "Epoch 9355/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0509 - val_binary_accuracy: 0.5360\n",
            "Epoch 9356/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0514 - val_binary_accuracy: 0.5410\n",
            "Epoch 9357/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0512 - val_binary_accuracy: 0.5360\n",
            "Epoch 9358/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0513 - val_binary_accuracy: 0.5410\n",
            "Epoch 9359/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0511 - val_binary_accuracy: 0.5360\n",
            "Epoch 9360/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0516 - val_binary_accuracy: 0.5410\n",
            "Epoch 9361/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0512 - val_binary_accuracy: 0.5360\n",
            "Epoch 9362/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0517 - val_binary_accuracy: 0.5410\n",
            "Epoch 9363/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0511 - val_binary_accuracy: 0.5360\n",
            "Epoch 9364/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0517 - val_binary_accuracy: 0.5410\n",
            "Epoch 9365/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0512 - val_binary_accuracy: 0.5360\n",
            "Epoch 9366/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0518 - val_binary_accuracy: 0.5410\n",
            "Epoch 9367/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0514 - val_binary_accuracy: 0.5360\n",
            "Epoch 9368/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0518 - val_binary_accuracy: 0.5410\n",
            "Epoch 9369/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0516 - val_binary_accuracy: 0.5360\n",
            "Epoch 9370/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0519 - val_binary_accuracy: 0.5410\n",
            "Epoch 9371/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0517 - val_binary_accuracy: 0.5360\n",
            "Epoch 9372/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0520 - val_binary_accuracy: 0.5410\n",
            "Epoch 9373/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0517 - val_binary_accuracy: 0.5360\n",
            "Epoch 9374/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0522 - val_binary_accuracy: 0.5410\n",
            "Epoch 9375/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0517 - val_binary_accuracy: 0.5360\n",
            "Epoch 9376/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0523 - val_binary_accuracy: 0.5410\n",
            "Epoch 9377/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0517 - val_binary_accuracy: 0.5360\n",
            "Epoch 9378/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0524 - val_binary_accuracy: 0.5410\n",
            "Epoch 9379/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0520 - val_binary_accuracy: 0.5360\n",
            "Epoch 9380/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0523 - val_binary_accuracy: 0.5410\n",
            "Epoch 9381/10000\n",
            "401/401 [==============================] - 0s 56us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0521 - val_binary_accuracy: 0.5360\n",
            "Epoch 9382/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0524 - val_binary_accuracy: 0.5410\n",
            "Epoch 9383/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0522 - val_binary_accuracy: 0.5360\n",
            "Epoch 9384/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0527 - val_binary_accuracy: 0.5410\n",
            "Epoch 9385/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0523 - val_binary_accuracy: 0.5360\n",
            "Epoch 9386/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0528 - val_binary_accuracy: 0.5410\n",
            "Epoch 9387/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0522 - val_binary_accuracy: 0.5360\n",
            "Epoch 9388/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5353 - binary_accuracy: 0.6708 - val_loss: 1.0528 - val_binary_accuracy: 0.5410\n",
            "Epoch 9389/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0522 - val_binary_accuracy: 0.5360\n",
            "Epoch 9390/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0528 - val_binary_accuracy: 0.5410\n",
            "Epoch 9391/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0524 - val_binary_accuracy: 0.5360\n",
            "Epoch 9392/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0529 - val_binary_accuracy: 0.5410\n",
            "Epoch 9393/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0527 - val_binary_accuracy: 0.5360\n",
            "Epoch 9394/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0529 - val_binary_accuracy: 0.5410\n",
            "Epoch 9395/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0527 - val_binary_accuracy: 0.5360\n",
            "Epoch 9396/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0531 - val_binary_accuracy: 0.5410\n",
            "Epoch 9397/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0528 - val_binary_accuracy: 0.5360\n",
            "Epoch 9398/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0533 - val_binary_accuracy: 0.5410\n",
            "Epoch 9399/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0527 - val_binary_accuracy: 0.5360\n",
            "Epoch 9400/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0534 - val_binary_accuracy: 0.5410\n",
            "Epoch 9401/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0528 - val_binary_accuracy: 0.5360\n",
            "Epoch 9402/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0533 - val_binary_accuracy: 0.5410\n",
            "Epoch 9403/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0530 - val_binary_accuracy: 0.5360\n",
            "Epoch 9404/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0535 - val_binary_accuracy: 0.5410\n",
            "Epoch 9405/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0533 - val_binary_accuracy: 0.5360\n",
            "Epoch 9406/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0535 - val_binary_accuracy: 0.5410\n",
            "Epoch 9407/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0533 - val_binary_accuracy: 0.5360\n",
            "Epoch 9408/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0537 - val_binary_accuracy: 0.5410\n",
            "Epoch 9409/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0533 - val_binary_accuracy: 0.5360\n",
            "Epoch 9410/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0537 - val_binary_accuracy: 0.5410\n",
            "Epoch 9411/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0531 - val_binary_accuracy: 0.5360\n",
            "Epoch 9412/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0539 - val_binary_accuracy: 0.5410\n",
            "Epoch 9413/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0534 - val_binary_accuracy: 0.5360\n",
            "Epoch 9414/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0539 - val_binary_accuracy: 0.5410\n",
            "Epoch 9415/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0535 - val_binary_accuracy: 0.5360\n",
            "Epoch 9416/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0539 - val_binary_accuracy: 0.5410\n",
            "Epoch 9417/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0536 - val_binary_accuracy: 0.5360\n",
            "Epoch 9418/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0541 - val_binary_accuracy: 0.5370\n",
            "Epoch 9419/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0538 - val_binary_accuracy: 0.5360\n",
            "Epoch 9420/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0541 - val_binary_accuracy: 0.5410\n",
            "Epoch 9421/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0538 - val_binary_accuracy: 0.5360\n",
            "Epoch 9422/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0543 - val_binary_accuracy: 0.5410\n",
            "Epoch 9423/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0537 - val_binary_accuracy: 0.5360\n",
            "Epoch 9424/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0543 - val_binary_accuracy: 0.5410\n",
            "Epoch 9425/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0538 - val_binary_accuracy: 0.5360\n",
            "Epoch 9426/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0544 - val_binary_accuracy: 0.5410\n",
            "Epoch 9427/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0541 - val_binary_accuracy: 0.5360\n",
            "Epoch 9428/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0545 - val_binary_accuracy: 0.5370\n",
            "Epoch 9429/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0542 - val_binary_accuracy: 0.5360\n",
            "Epoch 9430/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0546 - val_binary_accuracy: 0.5370\n",
            "Epoch 9431/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0543 - val_binary_accuracy: 0.5360\n",
            "Epoch 9432/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0547 - val_binary_accuracy: 0.5370\n",
            "Epoch 9433/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0543 - val_binary_accuracy: 0.5360\n",
            "Epoch 9434/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0548 - val_binary_accuracy: 0.5370\n",
            "Epoch 9435/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0542 - val_binary_accuracy: 0.5360\n",
            "Epoch 9436/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0550 - val_binary_accuracy: 0.5410\n",
            "Epoch 9437/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0544 - val_binary_accuracy: 0.5360\n",
            "Epoch 9438/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0549 - val_binary_accuracy: 0.5370\n",
            "Epoch 9439/10000\n",
            "401/401 [==============================] - 0s 48us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0545 - val_binary_accuracy: 0.5360\n",
            "Epoch 9440/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0549 - val_binary_accuracy: 0.5370\n",
            "Epoch 9441/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0547 - val_binary_accuracy: 0.5360\n",
            "Epoch 9442/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0551 - val_binary_accuracy: 0.5370\n",
            "Epoch 9443/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0549 - val_binary_accuracy: 0.5360\n",
            "Epoch 9444/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0552 - val_binary_accuracy: 0.5370\n",
            "Epoch 9445/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0548 - val_binary_accuracy: 0.5360\n",
            "Epoch 9446/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0553 - val_binary_accuracy: 0.5370\n",
            "Epoch 9447/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0548 - val_binary_accuracy: 0.5360\n",
            "Epoch 9448/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0554 - val_binary_accuracy: 0.5370\n",
            "Epoch 9449/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0549 - val_binary_accuracy: 0.5360\n",
            "Epoch 9450/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0554 - val_binary_accuracy: 0.5370\n",
            "Epoch 9451/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0550 - val_binary_accuracy: 0.5360\n",
            "Epoch 9452/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0555 - val_binary_accuracy: 0.5370\n",
            "Epoch 9453/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0553 - val_binary_accuracy: 0.5360\n",
            "Epoch 9454/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0556 - val_binary_accuracy: 0.5370\n",
            "Epoch 9455/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0554 - val_binary_accuracy: 0.5360\n",
            "Epoch 9456/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0557 - val_binary_accuracy: 0.5370\n",
            "Epoch 9457/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0554 - val_binary_accuracy: 0.5360\n",
            "Epoch 9458/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0558 - val_binary_accuracy: 0.5370\n",
            "Epoch 9459/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0554 - val_binary_accuracy: 0.5360\n",
            "Epoch 9460/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0560 - val_binary_accuracy: 0.5370\n",
            "Epoch 9461/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0554 - val_binary_accuracy: 0.5360\n",
            "Epoch 9462/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0559 - val_binary_accuracy: 0.5370\n",
            "Epoch 9463/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0554 - val_binary_accuracy: 0.5360\n",
            "Epoch 9464/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0560 - val_binary_accuracy: 0.5370\n",
            "Epoch 9465/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0557 - val_binary_accuracy: 0.5360\n",
            "Epoch 9466/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0560 - val_binary_accuracy: 0.5370\n",
            "Epoch 9467/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0558 - val_binary_accuracy: 0.5360\n",
            "Epoch 9468/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0562 - val_binary_accuracy: 0.5370\n",
            "Epoch 9469/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0559 - val_binary_accuracy: 0.5360\n",
            "Epoch 9470/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0563 - val_binary_accuracy: 0.5370\n",
            "Epoch 9471/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0560 - val_binary_accuracy: 0.5360\n",
            "Epoch 9472/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0565 - val_binary_accuracy: 0.5370\n",
            "Epoch 9473/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0559 - val_binary_accuracy: 0.5360\n",
            "Epoch 9474/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5352 - binary_accuracy: 0.6708 - val_loss: 1.0565 - val_binary_accuracy: 0.5370\n",
            "Epoch 9475/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0560 - val_binary_accuracy: 0.5360\n",
            "Epoch 9476/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0565 - val_binary_accuracy: 0.5370\n",
            "Epoch 9477/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0562 - val_binary_accuracy: 0.5360\n",
            "Epoch 9478/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0566 - val_binary_accuracy: 0.5370\n",
            "Epoch 9479/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0564 - val_binary_accuracy: 0.5360\n",
            "Epoch 9480/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0566 - val_binary_accuracy: 0.5370\n",
            "Epoch 9481/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0564 - val_binary_accuracy: 0.5360\n",
            "Epoch 9482/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0568 - val_binary_accuracy: 0.5370\n",
            "Epoch 9483/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0565 - val_binary_accuracy: 0.5360\n",
            "Epoch 9484/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0570 - val_binary_accuracy: 0.5370\n",
            "Epoch 9485/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0564 - val_binary_accuracy: 0.5360\n",
            "Epoch 9486/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0571 - val_binary_accuracy: 0.5370\n",
            "Epoch 9487/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0565 - val_binary_accuracy: 0.5360\n",
            "Epoch 9488/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0571 - val_binary_accuracy: 0.5370\n",
            "Epoch 9489/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0567 - val_binary_accuracy: 0.5360\n",
            "Epoch 9490/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0571 - val_binary_accuracy: 0.5370\n",
            "Epoch 9491/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0568 - val_binary_accuracy: 0.5360\n",
            "Epoch 9492/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0573 - val_binary_accuracy: 0.5370\n",
            "Epoch 9493/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0571 - val_binary_accuracy: 0.5360\n",
            "Epoch 9494/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0573 - val_binary_accuracy: 0.5370\n",
            "Epoch 9495/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0570 - val_binary_accuracy: 0.5360\n",
            "Epoch 9496/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0575 - val_binary_accuracy: 0.5370\n",
            "Epoch 9497/10000\n",
            "401/401 [==============================] - 0s 52us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0569 - val_binary_accuracy: 0.5360\n",
            "Epoch 9498/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0576 - val_binary_accuracy: 0.5370\n",
            "Epoch 9499/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0570 - val_binary_accuracy: 0.5360\n",
            "Epoch 9500/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0576 - val_binary_accuracy: 0.5370\n",
            "Epoch 9501/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0572 - val_binary_accuracy: 0.5360\n",
            "Epoch 9502/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0577 - val_binary_accuracy: 0.5370\n",
            "Epoch 9503/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0575 - val_binary_accuracy: 0.5360\n",
            "Epoch 9504/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0577 - val_binary_accuracy: 0.5370\n",
            "Epoch 9505/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0575 - val_binary_accuracy: 0.5360\n",
            "Epoch 9506/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0579 - val_binary_accuracy: 0.5370\n",
            "Epoch 9507/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0575 - val_binary_accuracy: 0.5360\n",
            "Epoch 9508/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0580 - val_binary_accuracy: 0.5370\n",
            "Epoch 9509/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0575 - val_binary_accuracy: 0.5360\n",
            "Epoch 9510/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0581 - val_binary_accuracy: 0.5370\n",
            "Epoch 9511/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0575 - val_binary_accuracy: 0.5360\n",
            "Epoch 9512/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0580 - val_binary_accuracy: 0.5370\n",
            "Epoch 9513/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0576 - val_binary_accuracy: 0.5360\n",
            "Epoch 9514/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0581 - val_binary_accuracy: 0.5370\n",
            "Epoch 9515/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0579 - val_binary_accuracy: 0.5360\n",
            "Epoch 9516/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0582 - val_binary_accuracy: 0.5370\n",
            "Epoch 9517/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0580 - val_binary_accuracy: 0.5360\n",
            "Epoch 9518/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0584 - val_binary_accuracy: 0.5370\n",
            "Epoch 9519/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0580 - val_binary_accuracy: 0.5360\n",
            "Epoch 9520/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0585 - val_binary_accuracy: 0.5370\n",
            "Epoch 9521/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0580 - val_binary_accuracy: 0.5360\n",
            "Epoch 9522/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0586 - val_binary_accuracy: 0.5370\n",
            "Epoch 9523/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0580 - val_binary_accuracy: 0.5360\n",
            "Epoch 9524/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0586 - val_binary_accuracy: 0.5370\n",
            "Epoch 9525/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0582 - val_binary_accuracy: 0.5360\n",
            "Epoch 9526/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0587 - val_binary_accuracy: 0.5370\n",
            "Epoch 9527/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0585 - val_binary_accuracy: 0.5360\n",
            "Epoch 9528/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0587 - val_binary_accuracy: 0.5370\n",
            "Epoch 9529/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0585 - val_binary_accuracy: 0.5360\n",
            "Epoch 9530/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0588 - val_binary_accuracy: 0.5370\n",
            "Epoch 9531/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0585 - val_binary_accuracy: 0.5360\n",
            "Epoch 9532/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0591 - val_binary_accuracy: 0.5370\n",
            "Epoch 9533/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0586 - val_binary_accuracy: 0.5360\n",
            "Epoch 9534/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0591 - val_binary_accuracy: 0.5370\n",
            "Epoch 9535/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0585 - val_binary_accuracy: 0.5360\n",
            "Epoch 9536/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0591 - val_binary_accuracy: 0.5370\n",
            "Epoch 9537/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0587 - val_binary_accuracy: 0.5360\n",
            "Epoch 9538/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0592 - val_binary_accuracy: 0.5370\n",
            "Epoch 9539/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0590 - val_binary_accuracy: 0.5360\n",
            "Epoch 9540/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0592 - val_binary_accuracy: 0.5370\n",
            "Epoch 9541/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0590 - val_binary_accuracy: 0.5360\n",
            "Epoch 9542/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0593 - val_binary_accuracy: 0.5370\n",
            "Epoch 9543/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0590 - val_binary_accuracy: 0.5360\n",
            "Epoch 9544/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0596 - val_binary_accuracy: 0.5370\n",
            "Epoch 9545/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0590 - val_binary_accuracy: 0.5360\n",
            "Epoch 9546/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0596 - val_binary_accuracy: 0.5370\n",
            "Epoch 9547/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5351 - binary_accuracy: 0.6708 - val_loss: 1.0590 - val_binary_accuracy: 0.5360\n",
            "Epoch 9548/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0597 - val_binary_accuracy: 0.5370\n",
            "Epoch 9549/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0593 - val_binary_accuracy: 0.5360\n",
            "Epoch 9550/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0597 - val_binary_accuracy: 0.5370\n",
            "Epoch 9551/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0594 - val_binary_accuracy: 0.5360\n",
            "Epoch 9552/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0598 - val_binary_accuracy: 0.5370\n",
            "Epoch 9553/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0596 - val_binary_accuracy: 0.5360\n",
            "Epoch 9554/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0599 - val_binary_accuracy: 0.5370\n",
            "Epoch 9555/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0595 - val_binary_accuracy: 0.5360\n",
            "Epoch 9556/10000\n",
            "401/401 [==============================] - 0s 56us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0601 - val_binary_accuracy: 0.5370\n",
            "Epoch 9557/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0596 - val_binary_accuracy: 0.5360\n",
            "Epoch 9558/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0601 - val_binary_accuracy: 0.5370\n",
            "Epoch 9559/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0595 - val_binary_accuracy: 0.5360\n",
            "Epoch 9560/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0601 - val_binary_accuracy: 0.5370\n",
            "Epoch 9561/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0598 - val_binary_accuracy: 0.5360\n",
            "Epoch 9562/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0601 - val_binary_accuracy: 0.5370\n",
            "Epoch 9563/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0599 - val_binary_accuracy: 0.5360\n",
            "Epoch 9564/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0603 - val_binary_accuracy: 0.5370\n",
            "Epoch 9565/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0601 - val_binary_accuracy: 0.5360\n",
            "Epoch 9566/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0604 - val_binary_accuracy: 0.5370\n",
            "Epoch 9567/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0600 - val_binary_accuracy: 0.5360\n",
            "Epoch 9568/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0605 - val_binary_accuracy: 0.5370\n",
            "Epoch 9569/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0600 - val_binary_accuracy: 0.5360\n",
            "Epoch 9570/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0606 - val_binary_accuracy: 0.5370\n",
            "Epoch 9571/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0601 - val_binary_accuracy: 0.5360\n",
            "Epoch 9572/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0607 - val_binary_accuracy: 0.5370\n",
            "Epoch 9573/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0604 - val_binary_accuracy: 0.5360\n",
            "Epoch 9574/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0607 - val_binary_accuracy: 0.5370\n",
            "Epoch 9575/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0604 - val_binary_accuracy: 0.5360\n",
            "Epoch 9576/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0608 - val_binary_accuracy: 0.5370\n",
            "Epoch 9577/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0606 - val_binary_accuracy: 0.5360\n",
            "Epoch 9578/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0609 - val_binary_accuracy: 0.5370\n",
            "Epoch 9579/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0605 - val_binary_accuracy: 0.5360\n",
            "Epoch 9580/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0611 - val_binary_accuracy: 0.5370\n",
            "Epoch 9581/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0606 - val_binary_accuracy: 0.5360\n",
            "Epoch 9582/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0611 - val_binary_accuracy: 0.5370\n",
            "Epoch 9583/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0606 - val_binary_accuracy: 0.5360\n",
            "Epoch 9584/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0612 - val_binary_accuracy: 0.5370\n",
            "Epoch 9585/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0608 - val_binary_accuracy: 0.5360\n",
            "Epoch 9586/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0612 - val_binary_accuracy: 0.5370\n",
            "Epoch 9587/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0610 - val_binary_accuracy: 0.5360\n",
            "Epoch 9588/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0613 - val_binary_accuracy: 0.5370\n",
            "Epoch 9589/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0611 - val_binary_accuracy: 0.5360\n",
            "Epoch 9590/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0614 - val_binary_accuracy: 0.5370\n",
            "Epoch 9591/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0610 - val_binary_accuracy: 0.5360\n",
            "Epoch 9592/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0615 - val_binary_accuracy: 0.5370\n",
            "Epoch 9593/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0610 - val_binary_accuracy: 0.5360\n",
            "Epoch 9594/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0617 - val_binary_accuracy: 0.5370\n",
            "Epoch 9595/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0612 - val_binary_accuracy: 0.5360\n",
            "Epoch 9596/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0617 - val_binary_accuracy: 0.5370\n",
            "Epoch 9597/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0613 - val_binary_accuracy: 0.5360\n",
            "Epoch 9598/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0617 - val_binary_accuracy: 0.5370\n",
            "Epoch 9599/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0614 - val_binary_accuracy: 0.5360\n",
            "Epoch 9600/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0618 - val_binary_accuracy: 0.5370\n",
            "Epoch 9601/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0616 - val_binary_accuracy: 0.5360\n",
            "Epoch 9602/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0619 - val_binary_accuracy: 0.5370\n",
            "Epoch 9603/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0616 - val_binary_accuracy: 0.5360\n",
            "Epoch 9604/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0621 - val_binary_accuracy: 0.5370\n",
            "Epoch 9605/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0616 - val_binary_accuracy: 0.5360\n",
            "Epoch 9606/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0623 - val_binary_accuracy: 0.5370\n",
            "Epoch 9607/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0617 - val_binary_accuracy: 0.5360\n",
            "Epoch 9608/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0621 - val_binary_accuracy: 0.5370\n",
            "Epoch 9609/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0617 - val_binary_accuracy: 0.5360\n",
            "Epoch 9610/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0623 - val_binary_accuracy: 0.5370\n",
            "Epoch 9611/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0620 - val_binary_accuracy: 0.5360\n",
            "Epoch 9612/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0623 - val_binary_accuracy: 0.5370\n",
            "Epoch 9613/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0621 - val_binary_accuracy: 0.5360\n",
            "Epoch 9614/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0625 - val_binary_accuracy: 0.5370\n",
            "Epoch 9615/10000\n",
            "401/401 [==============================] - 0s 65us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0621 - val_binary_accuracy: 0.5360\n",
            "Epoch 9616/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0626 - val_binary_accuracy: 0.5370\n",
            "Epoch 9617/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0621 - val_binary_accuracy: 0.5360\n",
            "Epoch 9618/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0627 - val_binary_accuracy: 0.5370\n",
            "Epoch 9619/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0621 - val_binary_accuracy: 0.5360\n",
            "Epoch 9620/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0627 - val_binary_accuracy: 0.5370\n",
            "Epoch 9621/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0624 - val_binary_accuracy: 0.5360\n",
            "Epoch 9622/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0628 - val_binary_accuracy: 0.5370\n",
            "Epoch 9623/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0625 - val_binary_accuracy: 0.5360\n",
            "Epoch 9624/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0628 - val_binary_accuracy: 0.5370\n",
            "Epoch 9625/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0626 - val_binary_accuracy: 0.5360\n",
            "Epoch 9626/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0629 - val_binary_accuracy: 0.5370\n",
            "Epoch 9627/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0626 - val_binary_accuracy: 0.5360\n",
            "Epoch 9628/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0631 - val_binary_accuracy: 0.5370\n",
            "Epoch 9629/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0626 - val_binary_accuracy: 0.5360\n",
            "Epoch 9630/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0632 - val_binary_accuracy: 0.5370\n",
            "Epoch 9631/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0626 - val_binary_accuracy: 0.5360\n",
            "Epoch 9632/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5350 - binary_accuracy: 0.6708 - val_loss: 1.0633 - val_binary_accuracy: 0.5370\n",
            "Epoch 9633/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0629 - val_binary_accuracy: 0.5360\n",
            "Epoch 9634/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0633 - val_binary_accuracy: 0.5370\n",
            "Epoch 9635/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0630 - val_binary_accuracy: 0.5360\n",
            "Epoch 9636/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0633 - val_binary_accuracy: 0.5370\n",
            "Epoch 9637/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0631 - val_binary_accuracy: 0.5360\n",
            "Epoch 9638/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0635 - val_binary_accuracy: 0.5370\n",
            "Epoch 9639/10000\n",
            "401/401 [==============================] - 0s 51us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0632 - val_binary_accuracy: 0.5360\n",
            "Epoch 9640/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0636 - val_binary_accuracy: 0.5370\n",
            "Epoch 9641/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0632 - val_binary_accuracy: 0.5360\n",
            "Epoch 9642/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0637 - val_binary_accuracy: 0.5370\n",
            "Epoch 9643/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0631 - val_binary_accuracy: 0.5360\n",
            "Epoch 9644/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0638 - val_binary_accuracy: 0.5370\n",
            "Epoch 9645/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0633 - val_binary_accuracy: 0.5360\n",
            "Epoch 9646/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0638 - val_binary_accuracy: 0.5370\n",
            "Epoch 9647/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0635 - val_binary_accuracy: 0.5360\n",
            "Epoch 9648/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0638 - val_binary_accuracy: 0.5370\n",
            "Epoch 9649/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0636 - val_binary_accuracy: 0.5360\n",
            "Epoch 9650/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0640 - val_binary_accuracy: 0.5370\n",
            "Epoch 9651/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0638 - val_binary_accuracy: 0.5360\n",
            "Epoch 9652/10000\n",
            "401/401 [==============================] - 0s 51us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0641 - val_binary_accuracy: 0.5370\n",
            "Epoch 9653/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0637 - val_binary_accuracy: 0.5360\n",
            "Epoch 9654/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0642 - val_binary_accuracy: 0.5370\n",
            "Epoch 9655/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0637 - val_binary_accuracy: 0.5360\n",
            "Epoch 9656/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0643 - val_binary_accuracy: 0.5370\n",
            "Epoch 9657/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0637 - val_binary_accuracy: 0.5360\n",
            "Epoch 9658/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0643 - val_binary_accuracy: 0.5370\n",
            "Epoch 9659/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0639 - val_binary_accuracy: 0.5360\n",
            "Epoch 9660/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0644 - val_binary_accuracy: 0.5370\n",
            "Epoch 9661/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0642 - val_binary_accuracy: 0.5360\n",
            "Epoch 9662/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0643 - val_binary_accuracy: 0.5370\n",
            "Epoch 9663/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0641 - val_binary_accuracy: 0.5360\n",
            "Epoch 9664/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0646 - val_binary_accuracy: 0.5370\n",
            "Epoch 9665/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0643 - val_binary_accuracy: 0.5360\n",
            "Epoch 9666/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0647 - val_binary_accuracy: 0.5370\n",
            "Epoch 9667/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0642 - val_binary_accuracy: 0.5360\n",
            "Epoch 9668/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0648 - val_binary_accuracy: 0.5370\n",
            "Epoch 9669/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0642 - val_binary_accuracy: 0.5360\n",
            "Epoch 9670/10000\n",
            "401/401 [==============================] - 0s 57us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0649 - val_binary_accuracy: 0.5370\n",
            "Epoch 9671/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0645 - val_binary_accuracy: 0.5360\n",
            "Epoch 9672/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0648 - val_binary_accuracy: 0.5370\n",
            "Epoch 9673/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0646 - val_binary_accuracy: 0.5360\n",
            "Epoch 9674/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0649 - val_binary_accuracy: 0.5370\n",
            "Epoch 9675/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0647 - val_binary_accuracy: 0.5360\n",
            "Epoch 9676/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0651 - val_binary_accuracy: 0.5370\n",
            "Epoch 9677/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0648 - val_binary_accuracy: 0.5360\n",
            "Epoch 9678/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0652 - val_binary_accuracy: 0.5370\n",
            "Epoch 9679/10000\n",
            "401/401 [==============================] - 0s 53us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0648 - val_binary_accuracy: 0.5360\n",
            "Epoch 9680/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0653 - val_binary_accuracy: 0.5370\n",
            "Epoch 9681/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0647 - val_binary_accuracy: 0.5360\n",
            "Epoch 9682/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0654 - val_binary_accuracy: 0.5370\n",
            "Epoch 9683/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0649 - val_binary_accuracy: 0.5360\n",
            "Epoch 9684/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0654 - val_binary_accuracy: 0.5370\n",
            "Epoch 9685/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0651 - val_binary_accuracy: 0.5360\n",
            "Epoch 9686/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0654 - val_binary_accuracy: 0.5370\n",
            "Epoch 9687/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0652 - val_binary_accuracy: 0.5360\n",
            "Epoch 9688/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0656 - val_binary_accuracy: 0.5370\n",
            "Epoch 9689/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0654 - val_binary_accuracy: 0.5360\n",
            "Epoch 9690/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0657 - val_binary_accuracy: 0.5370\n",
            "Epoch 9691/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0653 - val_binary_accuracy: 0.5360\n",
            "Epoch 9692/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0658 - val_binary_accuracy: 0.5370\n",
            "Epoch 9693/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0652 - val_binary_accuracy: 0.5360\n",
            "Epoch 9694/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0659 - val_binary_accuracy: 0.5370\n",
            "Epoch 9695/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0654 - val_binary_accuracy: 0.5360\n",
            "Epoch 9696/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0659 - val_binary_accuracy: 0.5370\n",
            "Epoch 9697/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0656 - val_binary_accuracy: 0.5360\n",
            "Epoch 9698/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0659 - val_binary_accuracy: 0.5370\n",
            "Epoch 9699/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0657 - val_binary_accuracy: 0.5360\n",
            "Epoch 9700/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0661 - val_binary_accuracy: 0.5370\n",
            "Epoch 9701/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0658 - val_binary_accuracy: 0.5360\n",
            "Epoch 9702/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0661 - val_binary_accuracy: 0.5370\n",
            "Epoch 9703/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0658 - val_binary_accuracy: 0.5360\n",
            "Epoch 9704/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0664 - val_binary_accuracy: 0.5370\n",
            "Epoch 9705/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0659 - val_binary_accuracy: 0.5360\n",
            "Epoch 9706/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0664 - val_binary_accuracy: 0.5370\n",
            "Epoch 9707/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0657 - val_binary_accuracy: 0.5360\n",
            "Epoch 9708/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0664 - val_binary_accuracy: 0.5370\n",
            "Epoch 9709/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0660 - val_binary_accuracy: 0.5360\n",
            "Epoch 9710/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0664 - val_binary_accuracy: 0.5370\n",
            "Epoch 9711/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0662 - val_binary_accuracy: 0.5360\n",
            "Epoch 9712/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0665 - val_binary_accuracy: 0.5370\n",
            "Epoch 9713/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0663 - val_binary_accuracy: 0.5360\n",
            "Epoch 9714/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0666 - val_binary_accuracy: 0.5370\n",
            "Epoch 9715/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0663 - val_binary_accuracy: 0.5360\n",
            "Epoch 9716/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0668 - val_binary_accuracy: 0.5370\n",
            "Epoch 9717/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0664 - val_binary_accuracy: 0.5360\n",
            "Epoch 9718/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0669 - val_binary_accuracy: 0.5370\n",
            "Epoch 9719/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0663 - val_binary_accuracy: 0.5360\n",
            "Epoch 9720/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5349 - binary_accuracy: 0.6708 - val_loss: 1.0669 - val_binary_accuracy: 0.5370\n",
            "Epoch 9721/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0664 - val_binary_accuracy: 0.5360\n",
            "Epoch 9722/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0670 - val_binary_accuracy: 0.5370\n",
            "Epoch 9723/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0667 - val_binary_accuracy: 0.5360\n",
            "Epoch 9724/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0670 - val_binary_accuracy: 0.5370\n",
            "Epoch 9725/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0668 - val_binary_accuracy: 0.5360\n",
            "Epoch 9726/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0672 - val_binary_accuracy: 0.5370\n",
            "Epoch 9727/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0669 - val_binary_accuracy: 0.5360\n",
            "Epoch 9728/10000\n",
            "401/401 [==============================] - 0s 55us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0672 - val_binary_accuracy: 0.5370\n",
            "Epoch 9729/10000\n",
            "401/401 [==============================] - 0s 31us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0669 - val_binary_accuracy: 0.5360\n",
            "Epoch 9730/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0675 - val_binary_accuracy: 0.5370\n",
            "Epoch 9731/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0669 - val_binary_accuracy: 0.5360\n",
            "Epoch 9732/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0675 - val_binary_accuracy: 0.5370\n",
            "Epoch 9733/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0669 - val_binary_accuracy: 0.5360\n",
            "Epoch 9734/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0675 - val_binary_accuracy: 0.5370\n",
            "Epoch 9735/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0672 - val_binary_accuracy: 0.5360\n",
            "Epoch 9736/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0676 - val_binary_accuracy: 0.5370\n",
            "Epoch 9737/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0673 - val_binary_accuracy: 0.5360\n",
            "Epoch 9738/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0676 - val_binary_accuracy: 0.5370\n",
            "Epoch 9739/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0675 - val_binary_accuracy: 0.5360\n",
            "Epoch 9740/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0678 - val_binary_accuracy: 0.5370\n",
            "Epoch 9741/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0674 - val_binary_accuracy: 0.5360\n",
            "Epoch 9742/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0679 - val_binary_accuracy: 0.5370\n",
            "Epoch 9743/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0674 - val_binary_accuracy: 0.5360\n",
            "Epoch 9744/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0681 - val_binary_accuracy: 0.5370\n",
            "Epoch 9745/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0675 - val_binary_accuracy: 0.5360\n",
            "Epoch 9746/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0679 - val_binary_accuracy: 0.5370\n",
            "Epoch 9747/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0675 - val_binary_accuracy: 0.5360\n",
            "Epoch 9748/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0680 - val_binary_accuracy: 0.5370\n",
            "Epoch 9749/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0678 - val_binary_accuracy: 0.5360\n",
            "Epoch 9750/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0681 - val_binary_accuracy: 0.5370\n",
            "Epoch 9751/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0679 - val_binary_accuracy: 0.5360\n",
            "Epoch 9752/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0682 - val_binary_accuracy: 0.5370\n",
            "Epoch 9753/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0679 - val_binary_accuracy: 0.5360\n",
            "Epoch 9754/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0684 - val_binary_accuracy: 0.5370\n",
            "Epoch 9755/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0679 - val_binary_accuracy: 0.5360\n",
            "Epoch 9756/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0685 - val_binary_accuracy: 0.5370\n",
            "Epoch 9757/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0679 - val_binary_accuracy: 0.5360\n",
            "Epoch 9758/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0685 - val_binary_accuracy: 0.5370\n",
            "Epoch 9759/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0681 - val_binary_accuracy: 0.5360\n",
            "Epoch 9760/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0686 - val_binary_accuracy: 0.5370\n",
            "Epoch 9761/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0683 - val_binary_accuracy: 0.5360\n",
            "Epoch 9762/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0686 - val_binary_accuracy: 0.5370\n",
            "Epoch 9763/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0684 - val_binary_accuracy: 0.5360\n",
            "Epoch 9764/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0687 - val_binary_accuracy: 0.5370\n",
            "Epoch 9765/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0684 - val_binary_accuracy: 0.5360\n",
            "Epoch 9766/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0689 - val_binary_accuracy: 0.5370\n",
            "Epoch 9767/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0684 - val_binary_accuracy: 0.5360\n",
            "Epoch 9768/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0690 - val_binary_accuracy: 0.5370\n",
            "Epoch 9769/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0684 - val_binary_accuracy: 0.5360\n",
            "Epoch 9770/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0690 - val_binary_accuracy: 0.5370\n",
            "Epoch 9771/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0686 - val_binary_accuracy: 0.5360\n",
            "Epoch 9772/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0691 - val_binary_accuracy: 0.5370\n",
            "Epoch 9773/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0688 - val_binary_accuracy: 0.5360\n",
            "Epoch 9774/10000\n",
            "401/401 [==============================] - 0s 31us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0691 - val_binary_accuracy: 0.5370\n",
            "Epoch 9775/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0689 - val_binary_accuracy: 0.5360\n",
            "Epoch 9776/10000\n",
            "401/401 [==============================] - 0s 31us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0692 - val_binary_accuracy: 0.5370\n",
            "Epoch 9777/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0689 - val_binary_accuracy: 0.5360\n",
            "Epoch 9778/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0694 - val_binary_accuracy: 0.5370\n",
            "Epoch 9779/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0689 - val_binary_accuracy: 0.5360\n",
            "Epoch 9780/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0695 - val_binary_accuracy: 0.5370\n",
            "Epoch 9781/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0689 - val_binary_accuracy: 0.5360\n",
            "Epoch 9782/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0696 - val_binary_accuracy: 0.5370\n",
            "Epoch 9783/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0691 - val_binary_accuracy: 0.5360\n",
            "Epoch 9784/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0695 - val_binary_accuracy: 0.5370\n",
            "Epoch 9785/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0693 - val_binary_accuracy: 0.5360\n",
            "Epoch 9786/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0696 - val_binary_accuracy: 0.5370\n",
            "Epoch 9787/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0694 - val_binary_accuracy: 0.5360\n",
            "Epoch 9788/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0697 - val_binary_accuracy: 0.5370\n",
            "Epoch 9789/10000\n",
            "401/401 [==============================] - 0s 56us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0694 - val_binary_accuracy: 0.5360\n",
            "Epoch 9790/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0699 - val_binary_accuracy: 0.5370\n",
            "Epoch 9791/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0695 - val_binary_accuracy: 0.5360\n",
            "Epoch 9792/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0700 - val_binary_accuracy: 0.5370\n",
            "Epoch 9793/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0694 - val_binary_accuracy: 0.5360\n",
            "Epoch 9794/10000\n",
            "401/401 [==============================] - 0s 56us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0701 - val_binary_accuracy: 0.5370\n",
            "Epoch 9795/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0697 - val_binary_accuracy: 0.5360\n",
            "Epoch 9796/10000\n",
            "401/401 [==============================] - 0s 49us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0701 - val_binary_accuracy: 0.5370\n",
            "Epoch 9797/10000\n",
            "401/401 [==============================] - 0s 28us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0698 - val_binary_accuracy: 0.5360\n",
            "Epoch 9798/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0702 - val_binary_accuracy: 0.5370\n",
            "Epoch 9799/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0699 - val_binary_accuracy: 0.5360\n",
            "Epoch 9800/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0702 - val_binary_accuracy: 0.5370\n",
            "Epoch 9801/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0700 - val_binary_accuracy: 0.5360\n",
            "Epoch 9802/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0704 - val_binary_accuracy: 0.5370\n",
            "Epoch 9803/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0699 - val_binary_accuracy: 0.5360\n",
            "Epoch 9804/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0704 - val_binary_accuracy: 0.5370\n",
            "Epoch 9805/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0698 - val_binary_accuracy: 0.5360\n",
            "Epoch 9806/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0705 - val_binary_accuracy: 0.5370\n",
            "Epoch 9807/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0701 - val_binary_accuracy: 0.5360\n",
            "Epoch 9808/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0705 - val_binary_accuracy: 0.5370\n",
            "Epoch 9809/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0702 - val_binary_accuracy: 0.5360\n",
            "Epoch 9810/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0706 - val_binary_accuracy: 0.5370\n",
            "Epoch 9811/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0704 - val_binary_accuracy: 0.5360\n",
            "Epoch 9812/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0707 - val_binary_accuracy: 0.5370\n",
            "Epoch 9813/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0704 - val_binary_accuracy: 0.5360\n",
            "Epoch 9814/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0708 - val_binary_accuracy: 0.5370\n",
            "Epoch 9815/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0704 - val_binary_accuracy: 0.5360\n",
            "Epoch 9816/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0711 - val_binary_accuracy: 0.5370\n",
            "Epoch 9817/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0705 - val_binary_accuracy: 0.5360\n",
            "Epoch 9818/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5348 - binary_accuracy: 0.6708 - val_loss: 1.0710 - val_binary_accuracy: 0.5370\n",
            "Epoch 9819/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0705 - val_binary_accuracy: 0.5360\n",
            "Epoch 9820/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0710 - val_binary_accuracy: 0.5370\n",
            "Epoch 9821/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0707 - val_binary_accuracy: 0.5360\n",
            "Epoch 9822/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0711 - val_binary_accuracy: 0.5370\n",
            "Epoch 9823/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0710 - val_binary_accuracy: 0.5360\n",
            "Epoch 9824/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0712 - val_binary_accuracy: 0.5370\n",
            "Epoch 9825/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0709 - val_binary_accuracy: 0.5360\n",
            "Epoch 9826/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0713 - val_binary_accuracy: 0.5370\n",
            "Epoch 9827/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0710 - val_binary_accuracy: 0.5360\n",
            "Epoch 9828/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0715 - val_binary_accuracy: 0.5370\n",
            "Epoch 9829/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0709 - val_binary_accuracy: 0.5360\n",
            "Epoch 9830/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0716 - val_binary_accuracy: 0.5370\n",
            "Epoch 9831/10000\n",
            "401/401 [==============================] - 0s 59us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0710 - val_binary_accuracy: 0.5360\n",
            "Epoch 9832/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0716 - val_binary_accuracy: 0.5370\n",
            "Epoch 9833/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0713 - val_binary_accuracy: 0.5360\n",
            "Epoch 9834/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0716 - val_binary_accuracy: 0.5370\n",
            "Epoch 9835/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0713 - val_binary_accuracy: 0.5360\n",
            "Epoch 9836/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0717 - val_binary_accuracy: 0.5370\n",
            "Epoch 9837/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0715 - val_binary_accuracy: 0.5360\n",
            "Epoch 9838/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0718 - val_binary_accuracy: 0.5370\n",
            "Epoch 9839/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0715 - val_binary_accuracy: 0.5360\n",
            "Epoch 9840/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0720 - val_binary_accuracy: 0.5370\n",
            "Epoch 9841/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0715 - val_binary_accuracy: 0.5360\n",
            "Epoch 9842/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0721 - val_binary_accuracy: 0.5370\n",
            "Epoch 9843/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0714 - val_binary_accuracy: 0.5360\n",
            "Epoch 9844/10000\n",
            "401/401 [==============================] - 0s 47us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0721 - val_binary_accuracy: 0.5370\n",
            "Epoch 9845/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0717 - val_binary_accuracy: 0.5360\n",
            "Epoch 9846/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0721 - val_binary_accuracy: 0.5370\n",
            "Epoch 9847/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0718 - val_binary_accuracy: 0.5360\n",
            "Epoch 9848/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0722 - val_binary_accuracy: 0.5370\n",
            "Epoch 9849/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0720 - val_binary_accuracy: 0.5360\n",
            "Epoch 9850/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0723 - val_binary_accuracy: 0.5370\n",
            "Epoch 9851/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0720 - val_binary_accuracy: 0.5360\n",
            "Epoch 9852/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0723 - val_binary_accuracy: 0.5370\n",
            "Epoch 9853/10000\n",
            "401/401 [==============================] - 0s 32us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0719 - val_binary_accuracy: 0.5360\n",
            "Epoch 9854/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0726 - val_binary_accuracy: 0.5370\n",
            "Epoch 9855/10000\n",
            "401/401 [==============================] - 0s 29us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0720 - val_binary_accuracy: 0.5360\n",
            "Epoch 9856/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0726 - val_binary_accuracy: 0.5370\n",
            "Epoch 9857/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0720 - val_binary_accuracy: 0.5360\n",
            "Epoch 9858/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0726 - val_binary_accuracy: 0.5370\n",
            "Epoch 9859/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0723 - val_binary_accuracy: 0.5360\n",
            "Epoch 9860/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0727 - val_binary_accuracy: 0.5370\n",
            "Epoch 9861/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0725 - val_binary_accuracy: 0.5360\n",
            "Epoch 9862/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0727 - val_binary_accuracy: 0.5370\n",
            "Epoch 9863/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0725 - val_binary_accuracy: 0.5360\n",
            "Epoch 9864/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0729 - val_binary_accuracy: 0.5370\n",
            "Epoch 9865/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0725 - val_binary_accuracy: 0.5360\n",
            "Epoch 9866/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0730 - val_binary_accuracy: 0.5370\n",
            "Epoch 9867/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0725 - val_binary_accuracy: 0.5360\n",
            "Epoch 9868/10000\n",
            "401/401 [==============================] - 0s 45us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0731 - val_binary_accuracy: 0.5370\n",
            "Epoch 9869/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0725 - val_binary_accuracy: 0.5360\n",
            "Epoch 9870/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0730 - val_binary_accuracy: 0.5370\n",
            "Epoch 9871/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0727 - val_binary_accuracy: 0.5360\n",
            "Epoch 9872/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0732 - val_binary_accuracy: 0.5370\n",
            "Epoch 9873/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0730 - val_binary_accuracy: 0.5360\n",
            "Epoch 9874/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0732 - val_binary_accuracy: 0.5370\n",
            "Epoch 9875/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0730 - val_binary_accuracy: 0.5360\n",
            "Epoch 9876/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0733 - val_binary_accuracy: 0.5370\n",
            "Epoch 9877/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0730 - val_binary_accuracy: 0.5360\n",
            "Epoch 9878/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0736 - val_binary_accuracy: 0.5370\n",
            "Epoch 9879/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0731 - val_binary_accuracy: 0.5360\n",
            "Epoch 9880/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0736 - val_binary_accuracy: 0.5370\n",
            "Epoch 9881/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0731 - val_binary_accuracy: 0.5360\n",
            "Epoch 9882/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0736 - val_binary_accuracy: 0.5370\n",
            "Epoch 9883/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0732 - val_binary_accuracy: 0.5360\n",
            "Epoch 9884/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0737 - val_binary_accuracy: 0.5370\n",
            "Epoch 9885/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0734 - val_binary_accuracy: 0.5360\n",
            "Epoch 9886/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0737 - val_binary_accuracy: 0.5370\n",
            "Epoch 9887/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0735 - val_binary_accuracy: 0.5360\n",
            "Epoch 9888/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0739 - val_binary_accuracy: 0.5370\n",
            "Epoch 9889/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0735 - val_binary_accuracy: 0.5360\n",
            "Epoch 9890/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0740 - val_binary_accuracy: 0.5370\n",
            "Epoch 9891/10000\n",
            "401/401 [==============================] - 0s 31us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0735 - val_binary_accuracy: 0.5360\n",
            "Epoch 9892/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0741 - val_binary_accuracy: 0.5370\n",
            "Epoch 9893/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0736 - val_binary_accuracy: 0.5360\n",
            "Epoch 9894/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0741 - val_binary_accuracy: 0.5370\n",
            "Epoch 9895/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0737 - val_binary_accuracy: 0.5360\n",
            "Epoch 9896/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0742 - val_binary_accuracy: 0.5370\n",
            "Epoch 9897/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0740 - val_binary_accuracy: 0.5360\n",
            "Epoch 9898/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0742 - val_binary_accuracy: 0.5370\n",
            "Epoch 9899/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0740 - val_binary_accuracy: 0.5360\n",
            "Epoch 9900/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0744 - val_binary_accuracy: 0.5370\n",
            "Epoch 9901/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0741 - val_binary_accuracy: 0.5360\n",
            "Epoch 9902/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0744 - val_binary_accuracy: 0.5370\n",
            "Epoch 9903/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0739 - val_binary_accuracy: 0.5360\n",
            "Epoch 9904/10000\n",
            "401/401 [==============================] - 0s 52us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0746 - val_binary_accuracy: 0.5370\n",
            "Epoch 9905/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0740 - val_binary_accuracy: 0.5360\n",
            "Epoch 9906/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0746 - val_binary_accuracy: 0.5370\n",
            "Epoch 9907/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0741 - val_binary_accuracy: 0.5360\n",
            "Epoch 9908/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0746 - val_binary_accuracy: 0.5370\n",
            "Epoch 9909/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0744 - val_binary_accuracy: 0.5360\n",
            "Epoch 9910/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0747 - val_binary_accuracy: 0.5370\n",
            "Epoch 9911/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0745 - val_binary_accuracy: 0.5360\n",
            "Epoch 9912/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0749 - val_binary_accuracy: 0.5370\n",
            "Epoch 9913/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0746 - val_binary_accuracy: 0.5360\n",
            "Epoch 9914/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0750 - val_binary_accuracy: 0.5370\n",
            "Epoch 9915/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0745 - val_binary_accuracy: 0.5360\n",
            "Epoch 9916/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0751 - val_binary_accuracy: 0.5370\n",
            "Epoch 9917/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0745 - val_binary_accuracy: 0.5360\n",
            "Epoch 9918/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0751 - val_binary_accuracy: 0.5370\n",
            "Epoch 9919/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0746 - val_binary_accuracy: 0.5360\n",
            "Epoch 9920/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0751 - val_binary_accuracy: 0.5370\n",
            "Epoch 9921/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0748 - val_binary_accuracy: 0.5360\n",
            "Epoch 9922/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0752 - val_binary_accuracy: 0.5370\n",
            "Epoch 9923/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0750 - val_binary_accuracy: 0.5360\n",
            "Epoch 9924/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0753 - val_binary_accuracy: 0.5370\n",
            "Epoch 9925/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0750 - val_binary_accuracy: 0.5360\n",
            "Epoch 9926/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0754 - val_binary_accuracy: 0.5370\n",
            "Epoch 9927/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0750 - val_binary_accuracy: 0.5360\n",
            "Epoch 9928/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0755 - val_binary_accuracy: 0.5370\n",
            "Epoch 9929/10000\n",
            "401/401 [==============================] - 0s 52us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0750 - val_binary_accuracy: 0.5360\n",
            "Epoch 9930/10000\n",
            "401/401 [==============================] - 0s 46us/step - loss: 0.5347 - binary_accuracy: 0.6708 - val_loss: 1.0756 - val_binary_accuracy: 0.5370\n",
            "Epoch 9931/10000\n",
            "401/401 [==============================] - 0s 51us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0751 - val_binary_accuracy: 0.5360\n",
            "Epoch 9932/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0756 - val_binary_accuracy: 0.5370\n",
            "Epoch 9933/10000\n",
            "401/401 [==============================] - 0s 51us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0753 - val_binary_accuracy: 0.5360\n",
            "Epoch 9934/10000\n",
            "401/401 [==============================] - 0s 53us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0756 - val_binary_accuracy: 0.5370\n",
            "Epoch 9935/10000\n",
            "401/401 [==============================] - 0s 55us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0754 - val_binary_accuracy: 0.5360\n",
            "Epoch 9936/10000\n",
            "401/401 [==============================] - 0s 44us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0758 - val_binary_accuracy: 0.5370\n",
            "Epoch 9937/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0756 - val_binary_accuracy: 0.5360\n",
            "Epoch 9938/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0759 - val_binary_accuracy: 0.5370\n",
            "Epoch 9939/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0756 - val_binary_accuracy: 0.5360\n",
            "Epoch 9940/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0760 - val_binary_accuracy: 0.5370\n",
            "Epoch 9941/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0755 - val_binary_accuracy: 0.5360\n",
            "Epoch 9942/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0762 - val_binary_accuracy: 0.5370\n",
            "Epoch 9943/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0755 - val_binary_accuracy: 0.5360\n",
            "Epoch 9944/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0761 - val_binary_accuracy: 0.5370\n",
            "Epoch 9945/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0757 - val_binary_accuracy: 0.5360\n",
            "Epoch 9946/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0761 - val_binary_accuracy: 0.5370\n",
            "Epoch 9947/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0759 - val_binary_accuracy: 0.5360\n",
            "Epoch 9948/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0763 - val_binary_accuracy: 0.5370\n",
            "Epoch 9949/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0761 - val_binary_accuracy: 0.5360\n",
            "Epoch 9950/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0763 - val_binary_accuracy: 0.5370\n",
            "Epoch 9951/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0761 - val_binary_accuracy: 0.5360\n",
            "Epoch 9952/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0765 - val_binary_accuracy: 0.5370\n",
            "Epoch 9953/10000\n",
            "401/401 [==============================] - 0s 42us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0761 - val_binary_accuracy: 0.5360\n",
            "Epoch 9954/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0765 - val_binary_accuracy: 0.5370\n",
            "Epoch 9955/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0759 - val_binary_accuracy: 0.5360\n",
            "Epoch 9956/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0767 - val_binary_accuracy: 0.5370\n",
            "Epoch 9957/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0762 - val_binary_accuracy: 0.5360\n",
            "Epoch 9958/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0766 - val_binary_accuracy: 0.5370\n",
            "Epoch 9959/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0763 - val_binary_accuracy: 0.5360\n",
            "Epoch 9960/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0767 - val_binary_accuracy: 0.5370\n",
            "Epoch 9961/10000\n",
            "401/401 [==============================] - 0s 60us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0765 - val_binary_accuracy: 0.5360\n",
            "Epoch 9962/10000\n",
            "401/401 [==============================] - 0s 40us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0768 - val_binary_accuracy: 0.5370\n",
            "Epoch 9963/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0765 - val_binary_accuracy: 0.5360\n",
            "Epoch 9964/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0769 - val_binary_accuracy: 0.5370\n",
            "Epoch 9965/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0765 - val_binary_accuracy: 0.5360\n",
            "Epoch 9966/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0771 - val_binary_accuracy: 0.5370\n",
            "Epoch 9967/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0765 - val_binary_accuracy: 0.5360\n",
            "Epoch 9968/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0771 - val_binary_accuracy: 0.5370\n",
            "Epoch 9969/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0766 - val_binary_accuracy: 0.5360\n",
            "Epoch 9970/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0772 - val_binary_accuracy: 0.5370\n",
            "Epoch 9971/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0769 - val_binary_accuracy: 0.5360\n",
            "Epoch 9972/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0772 - val_binary_accuracy: 0.5370\n",
            "Epoch 9973/10000\n",
            "401/401 [==============================] - 0s 34us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0770 - val_binary_accuracy: 0.5360\n",
            "Epoch 9974/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0773 - val_binary_accuracy: 0.5370\n",
            "Epoch 9975/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0770 - val_binary_accuracy: 0.5360\n",
            "Epoch 9976/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0774 - val_binary_accuracy: 0.5370\n",
            "Epoch 9977/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0770 - val_binary_accuracy: 0.5360\n",
            "Epoch 9978/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0776 - val_binary_accuracy: 0.5370\n",
            "Epoch 9979/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0770 - val_binary_accuracy: 0.5360\n",
            "Epoch 9980/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0776 - val_binary_accuracy: 0.5370\n",
            "Epoch 9981/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0771 - val_binary_accuracy: 0.5360\n",
            "Epoch 9982/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0777 - val_binary_accuracy: 0.5370\n",
            "Epoch 9983/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0773 - val_binary_accuracy: 0.5360\n",
            "Epoch 9984/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0777 - val_binary_accuracy: 0.5370\n",
            "Epoch 9985/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0775 - val_binary_accuracy: 0.5360\n",
            "Epoch 9986/10000\n",
            "401/401 [==============================] - 0s 33us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0778 - val_binary_accuracy: 0.5370\n",
            "Epoch 9987/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0776 - val_binary_accuracy: 0.5360\n",
            "Epoch 9988/10000\n",
            "401/401 [==============================] - 0s 37us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0779 - val_binary_accuracy: 0.5370\n",
            "Epoch 9989/10000\n",
            "401/401 [==============================] - 0s 39us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0776 - val_binary_accuracy: 0.5360\n",
            "Epoch 9990/10000\n",
            "401/401 [==============================] - 0s 43us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0781 - val_binary_accuracy: 0.5370\n",
            "Epoch 9991/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0776 - val_binary_accuracy: 0.5360\n",
            "Epoch 9992/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0781 - val_binary_accuracy: 0.5370\n",
            "Epoch 9993/10000\n",
            "401/401 [==============================] - 0s 36us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0775 - val_binary_accuracy: 0.5360\n",
            "Epoch 9994/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0781 - val_binary_accuracy: 0.5370\n",
            "Epoch 9995/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5346 - binary_accuracy: 0.6708 - val_loss: 1.0777 - val_binary_accuracy: 0.5360\n",
            "Epoch 9996/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0782 - val_binary_accuracy: 0.5370\n",
            "Epoch 9997/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0780 - val_binary_accuracy: 0.5360\n",
            "Epoch 9998/10000\n",
            "401/401 [==============================] - 0s 35us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0782 - val_binary_accuracy: 0.5370\n",
            "Epoch 9999/10000\n",
            "401/401 [==============================] - 0s 41us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0781 - val_binary_accuracy: 0.5360\n",
            "Epoch 10000/10000\n",
            "401/401 [==============================] - 0s 38us/step - loss: 0.5345 - binary_accuracy: 0.6708 - val_loss: 1.0784 - val_binary_accuracy: 0.5370\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EGSizO_RLqUg",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b026d26c-8f55-4d21-fa4b-90fa0bdbf033"
      },
      "source": [
        "history_dict = history.history\n",
        "history_dict.keys()"
      ],
      "execution_count": 122,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict_keys(['val_loss', 'val_binary_accuracy', 'loss', 'binary_accuracy'])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 122
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nHDc0hwrLtNl",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "97d26ce9-7a76-4b86-8e6a-3ce8a9ae1f7d"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "loss = history.history['loss']\n",
        "val_loss = history.history['val_loss']\n",
        "\n",
        "epochs = range(1, len(loss) + 1)\n",
        "\n",
        "# \"bo\" is for \"blue dot\"\n",
        "plt.plot(epochs, loss, 'bo', label='Training loss')\n",
        "# b is for \"solid blue line\"\n",
        "plt.plot(epochs, val_loss, 'b', label='Validation loss')\n",
        "plt.title('Training and validation loss')\n",
        "plt.xlabel('Epochs')\n",
        "plt.ylabel('Loss')\n",
        "plt.legend()\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 123,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mUpmNTT8Luej",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "71cb0098-80fd-4964-c102-48c9fdf1a5f0"
      },
      "source": [
        "plt.clf()   # clear figure\n",
        "acc = history.history['binary_accuracy']\n",
        "val_acc = history.history['val_binary_accuracy']\n",
        "\n",
        "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
        "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
        "plt.title('Training and validation accuracy')\n",
        "plt.xlabel('Epochs')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.legend()\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 124,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vi8jHzG5Lv4Q",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2c8329af-92ba-46f8-d989-d71053b776bd"
      },
      "source": [
        "model = models.Sequential()\n",
        "model.add(layers.Dense(16, activation='relu', input_shape=(1000,)))\n",
        "model.add(layers.Dense(16, activation='relu'))\n",
        "model.add(layers.Dense(1, activation='sigmoid'))\n",
        "\n",
        "model.compile(optimizer='rmsprop',\n",
        "              loss='binary_crossentropy',\n",
        "              metrics=['accuracy'])\n",
        "\n",
        "model.fit(x_train, y_train, \n",
        "          epochs=4, \n",
        "          batch_size=512,\n",
        "          validation_data=(x_val, y_val))"
      ],
      "execution_count": 125,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Train on 1401 samples, validate on 1000 samples\n",
            "Epoch 1/4\n",
            "1401/1401 [==============================] - 0s 77us/step - loss: 0.6925 - accuracy: 0.5089 - val_loss: 0.6917 - val_accuracy: 0.5220\n",
            "Epoch 2/4\n",
            "1401/1401 [==============================] - 0s 18us/step - loss: 0.6916 - accuracy: 0.5360 - val_loss: 0.6909 - val_accuracy: 0.5230\n",
            "Epoch 3/4\n",
            "1401/1401 [==============================] - 0s 20us/step - loss: 0.6905 - accuracy: 0.5282 - val_loss: 0.6902 - val_accuracy: 0.5380\n",
            "Epoch 4/4\n",
            "1401/1401 [==============================] - 0s 21us/step - loss: 0.6898 - accuracy: 0.5418 - val_loss: 0.6897 - val_accuracy: 0.5340\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.callbacks.History at 0x7ff4128a9f60>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 125
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AS_bomBBL1Z6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cdfde6f7-ff70-429f-97ad-7889f1e6b8a5"
      },
      "source": [
        "# 3 datasets: _test, _val, _train\n",
        "# this last evaluation is on realy never seen data\n",
        "results = model.evaluate(x_test, y_test)\n",
        "results\n",
        "# first is loss and second is metric as defined above"
      ],
      "execution_count": 126,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "601/601 [==============================] - 0s 32us/step\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.6907920650951874, 0.5374376177787781]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 126
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IQZQrnLwL86Z",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "07b954c4-3bc2-47b1-f1b5-0123dc619351"
      },
      "source": [
        "predicted = model.predict(x_test)\n",
        "predicted"
      ],
      "execution_count": 127,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.5 ],\n",
              "       [0.55],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.55],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.56],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.56],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.53],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.58],\n",
              "       [0.52],\n",
              "       [0.52],\n",
              "       [0.52],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.55],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.55],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.55],\n",
              "       [0.54],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.55],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.57],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.56],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.55],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.55],\n",
              "       [0.51],\n",
              "       [0.54],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.53],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.52],\n",
              "       [0.54],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.54],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.53],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.57],\n",
              "       [0.55],\n",
              "       [0.56],\n",
              "       [0.55],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.49],\n",
              "       [0.55],\n",
              "       [0.5 ],\n",
              "       [0.54],\n",
              "       [0.52],\n",
              "       [0.55],\n",
              "       [0.57],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.54],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.56],\n",
              "       [0.54],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.57],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.54],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.54],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.53],\n",
              "       [0.54],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.54],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.56],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.55],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.54],\n",
              "       [0.52],\n",
              "       [0.54],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.53],\n",
              "       [0.53],\n",
              "       [0.53],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.53],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.54],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.56],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.56],\n",
              "       [0.52],\n",
              "       [0.56],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.54],\n",
              "       [0.54],\n",
              "       [0.51],\n",
              "       [0.56],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.53],\n",
              "       [0.51],\n",
              "       [0.53],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.58],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.54],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.55],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.55],\n",
              "       [0.54],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.53],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.54],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.49],\n",
              "       [0.56],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.55],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.55],\n",
              "       [0.55],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.53],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.52],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.55],\n",
              "       [0.54],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.53],\n",
              "       [0.55],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.54],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.56],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.53],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.55],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.54],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.53],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.53],\n",
              "       [0.54],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.54],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.54],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.55],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.56],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.55],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.52],\n",
              "       [0.53],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.55],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.53],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.56],\n",
              "       [0.51],\n",
              "       [0.54],\n",
              "       [0.49],\n",
              "       [0.49],\n",
              "       [0.52],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.57],\n",
              "       [0.5 ],\n",
              "       [0.52],\n",
              "       [0.5 ],\n",
              "       [0.55],\n",
              "       [0.51],\n",
              "       [0.56],\n",
              "       [0.49],\n",
              "       [0.5 ],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.5 ],\n",
              "       [0.51],\n",
              "       [0.52],\n",
              "       [0.54],\n",
              "       [0.55],\n",
              "       [0.52],\n",
              "       [0.51],\n",
              "       [0.53],\n",
              "       [0.5 ],\n",
              "       [0.54],\n",
              "       [0.51],\n",
              "       [0.51],\n",
              "       [0.49],\n",
              "       [0.52]], dtype=float32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 127
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kAYbKvXDMAEd",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "70ae9a02-7b82-4e09-e7dc-ab62a5b4d2f0"
      },
      "source": [
        "from sklearn.metrics import classification_report\n",
        "from sklearn.metrics import confusion_matrix\n",
        "\n",
        "predicted_classes = [0 if float(i) < 0.5 else 1 for i in predicted]\n",
        "\n",
        "target_names=[\"neg. review\", \"pos. review\"]\n",
        "print(classification_report(y_test, predicted_classes, target_names=target_names))\n",
        "\n",
        "cnf_matrix=confusion_matrix(y_test, predicted_classes)\n",
        "cnf_matrix"
      ],
      "execution_count": 128,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            " neg. review       0.56      0.39      0.46       302\n",
            " pos. review       0.53      0.69      0.60       299\n",
            "\n",
            "    accuracy                           0.54       601\n",
            "   macro avg       0.54      0.54      0.53       601\n",
            "weighted avg       0.54      0.54      0.53       601\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[118, 184],\n",
              "       [ 94, 205]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 128
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9dDNd5tNMGpw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d1f7dac5-758d-420a-9841-727f163798bf"
      },
      "source": [
        "import itertools\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "def plot_confusion_matrix(cm, classes,\n",
        "                          normalize=False,\n",
        "                          title='Confusion matrix',\n",
        "                          cmap=plt.cm.Blues):\n",
        "    \"\"\"\n",
        "    This function prints and plots the confusion matrix.\n",
        "    Normalization can be applied by setting `normalize=True`.\n",
        "    \"\"\"\n",
        "    if normalize:\n",
        "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
        "        print(\"Normalized confusion matrix\")\n",
        "    else:\n",
        "        print('Confusion matrix, without normalization')\n",
        "\n",
        "    print(cm)\n",
        "\n",
        "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
        "    plt.title(title)\n",
        "    plt.colorbar()\n",
        "    tick_marks = np.arange(len(classes))\n",
        "    plt.xticks(tick_marks, classes, rotation=45)\n",
        "    plt.yticks(tick_marks, classes)\n",
        "\n",
        "    fmt = '.2f' if normalize else 'd'\n",
        "    thresh = cm.max() / 2.\n",
        "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
        "        plt.text(j, i, format(cm[i, j], fmt),\n",
        "                 horizontalalignment=\"center\",\n",
        "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
        "\n",
        "    plt.tight_layout()\n",
        "    plt.ylabel('True label')\n",
        "    plt.xlabel('Predicted label')\n",
        "\n",
        "# Compute confusion matrix\n",
        "cnf_matrix=confusion_matrix(y_test, predicted_classes)\n",
        "np.set_printoptions(precision=2)\n",
        "\n",
        "# Plot non-normalized confusion matrix\n",
        "plt.figure()\n",
        "plot_confusion_matrix(cnf_matrix, classes=target_names,\n",
        "                      title='Confusion matrix, without normalization')\n",
        "plt.show()\n",
        "\n",
        "# Plot normalized confusion matrix\n",
        "plt.figure()\n",
        "plot_confusion_matrix(cnf_matrix, classes=target_names, normalize=True,\n",
        "                      title='Normalized confusion matrix')\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 129,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Confusion matrix, without normalization\n",
            "[[118 184]\n",
            " [ 94 205]]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Normalized confusion matrix\n",
            "[[0.39 0.61]\n",
            " [0.31 0.69]]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}