RegNetY002-fold0.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow.compat.v2 as tf\n",
    "from tensorflow import keras\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pathlib\n",
    "import random\n",
    "import glob\n",
    "import os\n",
    "from tensorflow.compat.v1 import ConfigProto\n",
    "from tensorflow.compat.v1 import InteractiveSession\n",
    "import time\n",
    "keras = tf.keras\n",
    "config = ConfigProto()\n",
    "config.gpu_options.allow_growth = True\n",
    "session = InteractiveSession(config=config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_and_preprocess_image(path):\n",
    "    image = tf.io.read_file(path)\n",
    "    image = tf.image.decode_jpeg(image, channels=3)\n",
    "    image = tf.image.resize(image, [224, 224])\n",
    "    image = tf.cast(image, tf.float32)\n",
    "    image = image/255.0\n",
    "    image = 2*image-1\n",
    "    return image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_dir = r'C:\\Users\\24306\\Desktop\\datasets\\kfold\\0\\train'\n",
    "test_dir  = r'C:\\Users\\24306\\Desktop\\datasets\\kfold\\0\\test'\n",
    "checkpoint_path = r'C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 处理训练数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "<PrefetchDataset element_spec=(TensorSpec(shape=(None, 224, 224, 3), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.float32, name=None))>\n"
     ]
    }
   ],
   "source": [
    "#打乱顺序\n",
    "train_root = pathlib.Path(train_dir)\n",
    "train_image_paths = list(train_root.glob('*/*'))\n",
    "train_image_paths = [str(path) for path in train_image_paths]\n",
    "random.shuffle(train_image_paths)\n",
    "#处理训练标签\n",
    "train_image_labels = [pathlib.Path(path).parent.name for path in train_image_paths]\n",
    "train_labels = [[label.split('_')[0]] for label in train_image_labels]\n",
    "new_train_labels=[]\n",
    "for n in train_labels:\n",
    "    new_train_labels.append(float(n[0]));  \n",
    "train_labels=new_train_labels\n",
    "print(train_labels)\n",
    "#处理训练图像\n",
    "train_path_ds = tf.data.Dataset.from_tensor_slices(train_image_paths)\n",
    "AUTOTUNE = tf.data.experimental.AUTOTUNE\n",
    "train_image_ds = train_path_ds.map(load_and_preprocess_image, num_parallel_calls=AUTOTUNE)\n",
    "train_label_ds = tf.data.Dataset.from_tensor_slices(train_labels)\n",
    "train_image_label_ds = tf.data.Dataset.zip((train_image_ds, train_label_ds))\n",
    "# image_count = len(all_image_paths)\n",
    "\n",
    "# test_count = int(image_count*0.2)\n",
    "train_count = len(train_image_paths)\n",
    "# train_data = image_label_ds.skip(test_count)\n",
    "# test_data = image_label_ds.take(test_count)\n",
    "\n",
    "BATCH_SIZE = 32\n",
    "train_data = train_image_label_ds.shuffle(buffer_size=train_count).repeat(-1)\n",
    "train_data = train_data.batch(BATCH_SIZE)\n",
    "train_data = train_data.prefetch(buffer_size=AUTOTUNE)\n",
    "\n",
    "#test_data = test_data.batch(BATCH_SIZE)\n",
    "print(train_data)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 处理验证数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "<PrefetchDataset element_spec=(TensorSpec(shape=(None, 224, 224, 3), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.float32, name=None))>\n"
     ]
    }
   ],
   "source": [
    "#打乱顺序\n",
    "test_root = pathlib.Path(test_dir)\n",
    "test_image_paths = list(test_root.glob('*/*'))\n",
    "test_image_paths = [str(path) for path in test_image_paths]\n",
    "#random.shuffle(train_image_paths)\n",
    "#处理训练标签\n",
    "test_image_labels = [pathlib.Path(path).parent.name for path in test_image_paths]\n",
    "test_labels = [[label.split('_')[0]] for label in test_image_labels]\n",
    "new_test_labels=[]\n",
    "for n in test_labels:\n",
    "    new_test_labels.append(float(n[0]));  \n",
    "test_labels=new_test_labels\n",
    "print(test_labels)\n",
    "#处理训练图像\n",
    "test_path_ds = tf.data.Dataset.from_tensor_slices(test_image_paths)\n",
    "AUTOTUNE = tf.data.experimental.AUTOTUNE\n",
    "test_image_ds = test_path_ds.map(load_and_preprocess_image, num_parallel_calls=AUTOTUNE)\n",
    "test_label_ds = tf.data.Dataset.from_tensor_slices(test_labels)\n",
    "test_image_label_ds = tf.data.Dataset.zip((test_image_ds, test_label_ds))\n",
    "# image_count = len(all_image_paths)\n",
    "\n",
    "# test_count = int(image_count*0.2)\n",
    "test_count = len(test_image_paths)\n",
    "# train_data = image_label_ds.skip(test_count)\n",
    "# test_data = image_label_ds.take(test_count)\n",
    "\n",
    "BATCH_SIZE = 32\n",
    "test_data = test_image_label_ds.shuffle(buffer_size=test_count).repeat(-1)\n",
    "test_data = test_data.batch(BATCH_SIZE)\n",
    "test_data = test_data.prefetch(buffer_size=AUTOTUNE)\n",
    "\n",
    "#test_data = test_data.batch(BATCH_SIZE)\n",
    "print(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/regnet/regnety002_notop.h5\n",
      "11847872/11847872 [==============================] - 2s 0us/step\n",
      "Model: \"model\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " input_2 (InputLayer)        [(None, 224, 224, 3)]     0         \n",
      "                                                                 \n",
      " regnety002 (Functional)     (None, 7, 7, 368)         2814844   \n",
      "                                                                 \n",
      " global_average_pooling2d (G  (None, 368)              0         \n",
      " lobalAveragePooling2D)                                          \n",
      "                                                                 \n",
      " out_weight (Dense)          (None, 1)                 369       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2,815,213\n",
      "Trainable params: 2,794,365\n",
      "Non-trainable params: 20,848\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "#要改\n",
    "RegNetY002 =tf.keras.applications.regnet.RegNetY002(weights='imagenet',include_top=False,input_shape=(224, 224, 3))\n",
    "#要改\n",
    "RegNetY002.trainable = True\n",
    "inputs = tf.keras.Input(shape=(224, 224, 3))\n",
    "#要改\n",
    "x = RegNetY002(inputs)\n",
    "x = tf.keras.layers.GlobalAveragePooling2D()(x)\n",
    "out_weight = tf.keras.layers.Dense(1,name='out_weight')(x)\n",
    "\n",
    "model = tf.keras.Model(inputs=inputs,\n",
    "                       outputs=[out_weight])\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start time: Wed Apr 12 16:54:46 2023\n",
      "Epoch 1/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 578.2872"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 98s 134ms/step - loss: 578.2872 - val_loss: 8.1496\n",
      "Epoch 2/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 28.7270"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 81s 137ms/step - loss: 28.7270 - val_loss: 5.1952\n",
      "Epoch 3/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 16.5608"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 83s 141ms/step - loss: 16.5608 - val_loss: 3.5246\n",
      "Epoch 4/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 10.4143"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 84s 141ms/step - loss: 10.4143 - val_loss: 2.1757\n",
      "Epoch 5/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 7.6612"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 85s 143ms/step - loss: 7.6612 - val_loss: 1.8469\n",
      "Epoch 6/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 5.6986"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 85s 144ms/step - loss: 5.6986 - val_loss: 1.5794\n",
      "Epoch 7/300\n",
      "591/591 [==============================] - 68s 115ms/step - loss: 5.6107 - val_loss: 1.8909\n",
      "Epoch 8/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 4.4471"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 85s 144ms/step - loss: 4.4471 - val_loss: 1.4851\n",
      "Epoch 9/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 4.2508"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 85s 143ms/step - loss: 4.2508 - val_loss: 1.2831\n",
      "Epoch 10/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 4.2476"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 86s 145ms/step - loss: 4.2476 - val_loss: 1.2593\n",
      "Epoch 11/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 3.9012"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 88s 149ms/step - loss: 3.9012 - val_loss: 1.2102\n",
      "Epoch 12/300\n",
      "591/591 [==============================] - 69s 117ms/step - loss: 3.8810 - val_loss: 1.6092\n",
      "Epoch 13/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 3.5415"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 87s 147ms/step - loss: 3.5415 - val_loss: 1.1747\n",
      "Epoch 14/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 3.3033"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 88s 149ms/step - loss: 3.3033 - val_loss: 1.0488\n",
      "Epoch 15/300\n",
      "591/591 [==============================] - 71s 120ms/step - loss: 3.4785 - val_loss: 1.1731\n",
      "Epoch 16/300\n",
      "591/591 [==============================] - 69s 117ms/step - loss: 3.1336 - val_loss: 1.1492\n",
      "Epoch 17/300\n",
      "591/591 [==============================] - 69s 116ms/step - loss: 3.0600 - val_loss: 1.0711\n",
      "Epoch 18/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 2.9131"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 86s 146ms/step - loss: 2.9131 - val_loss: 0.9771\n",
      "Epoch 19/300\n",
      "591/591 [==============================] - 69s 116ms/step - loss: 3.1460 - val_loss: 1.0693\n",
      "Epoch 20/300\n",
      "591/591 [==============================] - 68s 115ms/step - loss: 3.1404 - val_loss: 1.0533\n",
      "Epoch 21/300\n",
      "591/591 [==============================] - 67s 113ms/step - loss: 2.9085 - val_loss: 0.9832\n",
      "Epoch 22/300\n",
      "591/591 [==============================] - 67s 113ms/step - loss: 2.7155 - val_loss: 1.0171\n",
      "Epoch 23/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 2.5970"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 86s 145ms/step - loss: 2.5970 - val_loss: 0.9679\n",
      "Epoch 24/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 2.5176"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 90s 152ms/step - loss: 2.5176 - val_loss: 0.9664\n",
      "Epoch 25/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 2.5750"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 89s 151ms/step - loss: 2.5750 - val_loss: 0.9274\n",
      "Epoch 26/300\n",
      "591/591 [==============================] - 72s 121ms/step - loss: 2.6265 - val_loss: 0.9846\n",
      "Epoch 27/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 2.4825"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 91s 154ms/step - loss: 2.4825 - val_loss: 0.8899\n",
      "Epoch 28/300\n",
      "591/591 [==============================] - 74s 124ms/step - loss: 2.6824 - val_loss: 1.0026\n",
      "Epoch 29/300\n",
      "591/591 [==============================] - 73s 124ms/step - loss: 2.7127 - val_loss: 1.1926\n",
      "Epoch 30/300\n",
      "591/591 [==============================] - 72s 122ms/step - loss: 2.6473 - val_loss: 1.1679\n",
      "Epoch 31/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 2.3581"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 92s 155ms/step - loss: 2.3581 - val_loss: 0.8337\n",
      "Epoch 32/300\n",
      "591/591 [==============================] - 74s 124ms/step - loss: 2.4313 - val_loss: 0.9200\n",
      "Epoch 33/300\n",
      "591/591 [==============================] - 73s 124ms/step - loss: 2.3180 - val_loss: 0.8793\n",
      "Epoch 34/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 2.4234"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 93s 157ms/step - loss: 2.4234 - val_loss: 0.8174\n",
      "Epoch 35/300\n",
      "591/591 [==============================] - 74s 126ms/step - loss: 2.2190 - val_loss: 0.8261\n",
      "Epoch 36/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 2.6382"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 95s 161ms/step - loss: 2.6382 - val_loss: 0.7891\n",
      "Epoch 37/300\n",
      "591/591 [==============================] - 76s 128ms/step - loss: 2.6073 - val_loss: 1.1658\n",
      "Epoch 38/300\n",
      "591/591 [==============================] - 76s 129ms/step - loss: 2.3227 - val_loss: 0.8772\n",
      "Epoch 39/300\n",
      "591/591 [==============================] - 74s 126ms/step - loss: 2.1587 - val_loss: 1.0490\n",
      "Epoch 40/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 2.3294 - val_loss: 0.7980\n",
      "Epoch 41/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 2.4281 - val_loss: 0.8559\n",
      "Epoch 42/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 2.3728 - val_loss: 0.8662\n",
      "Epoch 43/300\n",
      "591/591 [==============================] - 74s 126ms/step - loss: 2.4172 - val_loss: 1.1266\n",
      "Epoch 44/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 2.1156 - val_loss: 0.8346\n",
      "Epoch 45/300\n",
      "591/591 [==============================] - 75s 126ms/step - loss: 2.2031 - val_loss: 0.8417\n",
      "Epoch 46/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 2.1856 - val_loss: 0.8992\n",
      "Epoch 47/300\n",
      "591/591 [==============================] - 74s 126ms/step - loss: 2.4754 - val_loss: 1.0281\n",
      "Epoch 48/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 2.0013 - val_loss: 0.8288\n",
      "Epoch 49/300\n",
      "591/591 [==============================] - 74s 126ms/step - loss: 2.2071 - val_loss: 0.8180\n",
      "Epoch 50/300\n",
      "591/591 [==============================] - 75s 126ms/step - loss: 2.2230 - val_loss: 0.9125\n",
      "Epoch 51/300\n",
      "591/591 [==============================] - 75s 128ms/step - loss: 2.4620 - val_loss: 1.0492\n",
      "Epoch 52/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 2.0606 - val_loss: 0.9373\n",
      "Epoch 53/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 2.0013 - val_loss: 0.8507\n",
      "Epoch 54/300\n",
      "591/591 [==============================] - 70s 118ms/step - loss: 2.2834 - val_loss: 1.0039\n",
      "Epoch 55/300\n",
      "591/591 [==============================] - 74s 126ms/step - loss: 2.0892 - val_loss: 0.9607\n",
      "Epoch 56/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 1.9859 - val_loss: 0.9503\n",
      "Epoch 57/300\n",
      "591/591 [==============================] - 76s 128ms/step - loss: 1.9164 - val_loss: 1.0280\n",
      "Epoch 58/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 2.0523"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 95s 160ms/step - loss: 2.0523 - val_loss: 0.7698\n",
      "Epoch 59/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 2.0120"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 96s 163ms/step - loss: 2.0120 - val_loss: 0.7393\n",
      "Epoch 60/300\n",
      "591/591 [==============================] - 78s 132ms/step - loss: 1.9780 - val_loss: 0.8152\n",
      "Epoch 61/300\n",
      "591/591 [==============================] - 78s 132ms/step - loss: 2.0299 - val_loss: 0.8042\n",
      "Epoch 62/300\n",
      "591/591 [==============================] - 79s 132ms/step - loss: 1.8288 - val_loss: 0.8814\n",
      "Epoch 63/300\n",
      "591/591 [==============================] - 78s 132ms/step - loss: 2.0035 - val_loss: 0.8745\n",
      "Epoch 64/300\n",
      "591/591 [==============================] - 77s 131ms/step - loss: 1.8536 - val_loss: 1.3282\n",
      "Epoch 65/300\n",
      "591/591 [==============================] - 78s 131ms/step - loss: 2.0314 - val_loss: 0.7873\n",
      "Epoch 66/300\n",
      "591/591 [==============================] - 79s 133ms/step - loss: 2.0258 - val_loss: 0.7962\n",
      "Epoch 67/300\n",
      "591/591 [==============================] - 78s 131ms/step - loss: 1.8642 - val_loss: 0.8243\n",
      "Epoch 68/300\n",
      "591/591 [==============================] - 78s 131ms/step - loss: 1.7859 - val_loss: 0.8521\n",
      "Epoch 69/300\n",
      "591/591 [==============================] - 78s 132ms/step - loss: 2.0943 - val_loss: 0.7803\n",
      "Epoch 70/300\n",
      "591/591 [==============================] - 78s 132ms/step - loss: 1.7637 - val_loss: 0.8461\n",
      "Epoch 71/300\n",
      "591/591 [==============================] - 78s 132ms/step - loss: 1.7375 - val_loss: 0.8302\n",
      "Epoch 72/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.8540"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 98s 165ms/step - loss: 1.8540 - val_loss: 0.6951\n",
      "Epoch 73/300\n",
      "591/591 [==============================] - 79s 134ms/step - loss: 1.8906 - val_loss: 0.8178\n",
      "Epoch 74/300\n",
      "591/591 [==============================] - 80s 135ms/step - loss: 1.6299 - val_loss: 0.7812\n",
      "Epoch 75/300\n",
      "591/591 [==============================] - 80s 136ms/step - loss: 1.9229 - val_loss: 0.7112\n",
      "Epoch 76/300\n",
      "591/591 [==============================] - 80s 135ms/step - loss: 2.1827 - val_loss: 0.7104\n",
      "Epoch 77/300\n",
      "591/591 [==============================] - 80s 135ms/step - loss: 1.9749 - val_loss: 0.7036\n",
      "Epoch 78/300\n",
      "591/591 [==============================] - 80s 136ms/step - loss: 1.7869 - val_loss: 0.8749\n",
      "Epoch 79/300\n",
      "591/591 [==============================] - 80s 135ms/step - loss: 1.6696 - val_loss: 0.7334\n",
      "Epoch 80/300\n",
      "591/591 [==============================] - 80s 136ms/step - loss: 1.7726 - val_loss: 0.7991\n",
      "Epoch 81/300\n",
      "591/591 [==============================] - 80s 135ms/step - loss: 1.7430 - val_loss: 0.7429\n",
      "Epoch 82/300\n",
      "591/591 [==============================] - 79s 133ms/step - loss: 1.7418 - val_loss: 0.7615\n",
      "Epoch 83/300\n",
      "591/591 [==============================] - 80s 134ms/step - loss: 1.7587 - val_loss: 0.7042\n",
      "Epoch 84/300\n",
      "591/591 [==============================] - 80s 136ms/step - loss: 1.7822 - val_loss: 0.7061\n",
      "Epoch 85/300\n",
      "591/591 [==============================] - 80s 135ms/step - loss: 1.8288 - val_loss: 0.7940\n",
      "Epoch 86/300\n",
      "591/591 [==============================] - 80s 135ms/step - loss: 1.8764 - val_loss: 0.6987\n",
      "Epoch 87/300\n",
      "591/591 [==============================] - 80s 136ms/step - loss: 1.7431 - val_loss: 0.7428\n",
      "Epoch 88/300\n",
      "591/591 [==============================] - 81s 136ms/step - loss: 1.6079 - val_loss: 0.8360\n",
      "Epoch 89/300\n",
      "591/591 [==============================] - 81s 137ms/step - loss: 2.0465 - val_loss: 0.8424\n",
      "Epoch 90/300\n",
      "591/591 [==============================] - 77s 131ms/step - loss: 1.9688 - val_loss: 0.7314\n",
      "Epoch 91/300\n",
      "591/591 [==============================] - 71s 120ms/step - loss: 1.6576 - val_loss: 0.7722\n",
      "Epoch 92/300\n",
      "591/591 [==============================] - 72s 121ms/step - loss: 1.7246 - val_loss: 0.8912\n",
      "Epoch 93/300\n",
      "591/591 [==============================] - 72s 122ms/step - loss: 1.6874 - val_loss: 0.8643\n",
      "Epoch 94/300\n",
      "591/591 [==============================] - 72s 122ms/step - loss: 1.6527 - val_loss: 0.7580\n",
      "Epoch 95/300\n",
      "591/591 [==============================] - 72s 121ms/step - loss: 1.7917 - val_loss: 0.7317\n",
      "Epoch 96/300\n",
      "591/591 [==============================] - 71s 120ms/step - loss: 1.5831 - val_loss: 0.7351\n",
      "Epoch 97/300\n",
      "591/591 [==============================] - 71s 121ms/step - loss: 1.6968 - val_loss: 0.8441\n",
      "Epoch 98/300\n",
      "591/591 [==============================] - 72s 121ms/step - loss: 1.7153 - val_loss: 0.7547\n",
      "Epoch 99/300\n",
      "591/591 [==============================] - 72s 123ms/step - loss: 1.8441 - val_loss: 0.6977\n",
      "Epoch 100/300\n",
      "591/591 [==============================] - 72s 121ms/step - loss: 1.5745 - val_loss: 0.7665\n",
      "Epoch 101/300\n",
      "591/591 [==============================] - 72s 121ms/step - loss: 1.6781 - val_loss: 0.7236\n",
      "Epoch 102/300\n",
      "591/591 [==============================] - 72s 122ms/step - loss: 1.6120 - val_loss: 0.9118\n",
      "Epoch 103/300\n",
      "591/591 [==============================] - 73s 123ms/step - loss: 1.7828 - val_loss: 1.1387\n",
      "Epoch 104/300\n",
      "591/591 [==============================] - 74s 124ms/step - loss: 1.4946 - val_loss: 0.8598\n",
      "Epoch 105/300\n",
      "591/591 [==============================] - 73s 123ms/step - loss: 1.6399 - val_loss: 0.7619\n",
      "Epoch 106/300\n",
      "591/591 [==============================] - 73s 123ms/step - loss: 1.5748 - val_loss: 0.8044\n",
      "Epoch 107/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.6105"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 93s 157ms/step - loss: 1.6105 - val_loss: 0.6420\n",
      "Epoch 108/300\n",
      "591/591 [==============================] - 73s 123ms/step - loss: 1.6389 - val_loss: 0.8544\n",
      "Epoch 109/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.7015"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 93s 157ms/step - loss: 1.7015 - val_loss: 0.6086\n",
      "Epoch 110/300\n",
      "591/591 [==============================] - 74s 126ms/step - loss: 1.6292 - val_loss: 0.9237\n",
      "Epoch 111/300\n",
      "591/591 [==============================] - 74s 125ms/step - loss: 1.8830 - val_loss: 0.7116\n",
      "Epoch 112/300\n",
      "591/591 [==============================] - 74s 125ms/step - loss: 1.6844 - val_loss: 0.6923\n",
      "Epoch 113/300\n",
      "591/591 [==============================] - 74s 126ms/step - loss: 1.6138 - val_loss: 0.6958\n",
      "Epoch 114/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 1.5863 - val_loss: 0.7191\n",
      "Epoch 115/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 1.6398 - val_loss: 0.9856\n",
      "Epoch 116/300\n",
      "591/591 [==============================] - 74s 125ms/step - loss: 1.7809 - val_loss: 0.7893\n",
      "Epoch 117/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 1.6100 - val_loss: 0.7382\n",
      "Epoch 118/300\n",
      "591/591 [==============================] - 76s 128ms/step - loss: 2.0593 - val_loss: 0.9970\n",
      "Epoch 119/300\n",
      "591/591 [==============================] - 75s 126ms/step - loss: 1.5506 - val_loss: 0.7253\n",
      "Epoch 120/300\n",
      "591/591 [==============================] - 75s 126ms/step - loss: 1.6452 - val_loss: 0.7993\n",
      "Epoch 121/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 1.5371 - val_loss: 0.7103\n",
      "Epoch 122/300\n",
      "591/591 [==============================] - 76s 128ms/step - loss: 1.6821 - val_loss: 0.6375\n",
      "Epoch 123/300\n",
      "591/591 [==============================] - 75s 126ms/step - loss: 1.5678 - val_loss: 0.6402\n",
      "Epoch 124/300\n",
      "591/591 [==============================] - 75s 126ms/step - loss: 1.8107 - val_loss: 0.6993\n",
      "Epoch 125/300\n",
      "591/591 [==============================] - 77s 131ms/step - loss: 1.3873 - val_loss: 0.7460\n",
      "Epoch 126/300\n",
      "591/591 [==============================] - 77s 129ms/step - loss: 1.5440 - val_loss: 0.6339\n",
      "Epoch 127/300\n",
      "591/591 [==============================] - 75s 128ms/step - loss: 1.4867 - val_loss: 0.7248\n",
      "Epoch 128/300\n",
      "591/591 [==============================] - 75s 127ms/step - loss: 1.5668 - val_loss: 0.7052\n",
      "Epoch 129/300\n",
      "591/591 [==============================] - 75s 126ms/step - loss: 1.4609 - val_loss: 0.7254\n",
      "Epoch 130/300\n",
      "591/591 [==============================] - 76s 129ms/step - loss: 1.6354 - val_loss: 0.6847\n",
      "Epoch 131/300\n",
      "591/591 [==============================] - 76s 129ms/step - loss: 1.6154 - val_loss: 0.6245\n",
      "Epoch 132/300\n",
      "591/591 [==============================] - 76s 129ms/step - loss: 1.6349 - val_loss: 0.6110\n",
      "Epoch 133/300\n",
      "591/591 [==============================] - 78s 132ms/step - loss: 1.5976 - val_loss: 0.7228\n",
      "Epoch 134/300\n",
      "591/591 [==============================] - 77s 130ms/step - loss: 1.6353 - val_loss: 0.8212\n",
      "Epoch 135/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.5468"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 97s 164ms/step - loss: 1.5468 - val_loss: 0.6060\n",
      "Epoch 136/300\n",
      "591/591 [==============================] - 87s 148ms/step - loss: 1.6106 - val_loss: 0.7190\n",
      "Epoch 137/300\n",
      "591/591 [==============================] - 88s 148ms/step - loss: 1.5170 - val_loss: 0.8615\n",
      "Epoch 138/300\n",
      "591/591 [==============================] - 88s 149ms/step - loss: 1.6222 - val_loss: 0.7378\n",
      "Epoch 139/300\n",
      "591/591 [==============================] - 87s 147ms/step - loss: 1.6212 - val_loss: 0.6330\n",
      "Epoch 140/300\n",
      "591/591 [==============================] - 87s 147ms/step - loss: 1.4348 - val_loss: 0.6722\n",
      "Epoch 141/300\n",
      "591/591 [==============================] - 87s 147ms/step - loss: 1.4982 - val_loss: 0.9197\n",
      "Epoch 142/300\n",
      "591/591 [==============================] - 88s 149ms/step - loss: 1.6736 - val_loss: 0.6451\n",
      "Epoch 143/300\n",
      "591/591 [==============================] - 88s 148ms/step - loss: 1.4458 - val_loss: 0.6824\n",
      "Epoch 144/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.4201 - val_loss: 0.6919\n",
      "Epoch 145/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.6248"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 108s 183ms/step - loss: 1.6248 - val_loss: 0.5997\n",
      "Epoch 146/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 2.0214 - val_loss: 0.6795\n",
      "Epoch 147/300\n",
      "591/591 [==============================] - 88s 150ms/step - loss: 1.5628 - val_loss: 0.6648\n",
      "Epoch 148/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.5340 - val_loss: 0.7055\n",
      "Epoch 149/300\n",
      "591/591 [==============================] - 88s 149ms/step - loss: 1.4871 - val_loss: 0.6555\n",
      "Epoch 150/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.5256 - val_loss: 0.6828\n",
      "Epoch 151/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.6177 - val_loss: 0.6489\n",
      "Epoch 152/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.5526 - val_loss: 0.6823\n",
      "Epoch 153/300\n",
      "591/591 [==============================] - 88s 149ms/step - loss: 1.4233 - val_loss: 0.8130\n",
      "Epoch 154/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.5227 - val_loss: 0.9350\n",
      "Epoch 155/300\n",
      "591/591 [==============================] - 88s 149ms/step - loss: 1.5334 - val_loss: 0.6711\n",
      "Epoch 156/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.4663 - val_loss: 0.6649\n",
      "Epoch 157/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.5316 - val_loss: 0.6343\n",
      "Epoch 158/300\n",
      "591/591 [==============================] - 90s 151ms/step - loss: 1.7765 - val_loss: 0.6468\n",
      "Epoch 159/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.5387 - val_loss: 0.6027\n",
      "Epoch 160/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.5756"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 110s 186ms/step - loss: 1.5756 - val_loss: 0.5930\n",
      "Epoch 161/300\n",
      "591/591 [==============================] - 91s 154ms/step - loss: 1.3660 - val_loss: 0.6534\n",
      "Epoch 162/300\n",
      "591/591 [==============================] - 92s 155ms/step - loss: 1.4468 - val_loss: 0.6362\n",
      "Epoch 163/300\n",
      "591/591 [==============================] - 91s 154ms/step - loss: 1.4273 - val_loss: 0.8815\n",
      "Epoch 164/300\n",
      "591/591 [==============================] - 92s 155ms/step - loss: 1.4895 - val_loss: 0.6260\n",
      "Epoch 165/300\n",
      "591/591 [==============================] - 91s 154ms/step - loss: 1.3875 - val_loss: 0.6999\n",
      "Epoch 166/300\n",
      "591/591 [==============================] - 94s 158ms/step - loss: 1.6251 - val_loss: 0.9383\n",
      "Epoch 167/300\n",
      "591/591 [==============================] - 92s 156ms/step - loss: 1.4887 - val_loss: 0.6534\n",
      "Epoch 168/300\n",
      "591/591 [==============================] - 92s 156ms/step - loss: 1.3559 - val_loss: 0.6427\n",
      "Epoch 169/300\n",
      "591/591 [==============================] - 93s 157ms/step - loss: 1.3319 - val_loss: 0.6590\n",
      "Epoch 170/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.3802 - val_loss: 0.6964\n",
      "Epoch 171/300\n",
      "591/591 [==============================] - 92s 156ms/step - loss: 1.6943 - val_loss: 0.7125\n",
      "Epoch 172/300\n",
      "591/591 [==============================] - 90s 153ms/step - loss: 1.4227 - val_loss: 0.7586\n",
      "Epoch 173/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.4305"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 112s 189ms/step - loss: 1.4305 - val_loss: 0.5868\n",
      "Epoch 174/300\n",
      "591/591 [==============================] - 91s 154ms/step - loss: 1.3659 - val_loss: 0.5980\n",
      "Epoch 175/300\n",
      "591/591 [==============================] - 91s 154ms/step - loss: 1.4242 - val_loss: 0.7852\n",
      "Epoch 176/300\n",
      "591/591 [==============================] - 92s 156ms/step - loss: 1.7432 - val_loss: 0.7733\n",
      "Epoch 177/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.3985 - val_loss: 0.8915\n",
      "Epoch 178/300\n",
      "591/591 [==============================] - 92s 155ms/step - loss: 1.4987 - val_loss: 0.8251\n",
      "Epoch 179/300\n",
      "591/591 [==============================] - 91s 154ms/step - loss: 1.4124 - val_loss: 0.6672\n",
      "Epoch 180/300\n",
      "591/591 [==============================] - 92s 156ms/step - loss: 1.4016 - val_loss: 0.6859\n",
      "Epoch 181/300\n",
      "591/591 [==============================] - 92s 155ms/step - loss: 1.2978 - val_loss: 0.6600\n",
      "Epoch 182/300\n",
      "591/591 [==============================] - 92s 155ms/step - loss: 1.6794 - val_loss: 0.6015\n",
      "Epoch 183/300\n",
      "591/591 [==============================] - 92s 156ms/step - loss: 1.5213 - val_loss: 0.9441\n",
      "Epoch 184/300\n",
      "591/591 [==============================] - 93s 158ms/step - loss: 1.4173 - val_loss: 0.7778\n",
      "Epoch 185/300\n",
      "591/591 [==============================] - 85s 144ms/step - loss: 1.3536 - val_loss: 0.6696\n",
      "Epoch 186/300\n",
      "591/591 [==============================] - 83s 141ms/step - loss: 1.3473 - val_loss: 0.6556\n",
      "Epoch 187/300\n",
      "591/591 [==============================] - 82s 138ms/step - loss: 1.4353 - val_loss: 0.5925\n",
      "Epoch 188/300\n",
      "591/591 [==============================] - 82s 138ms/step - loss: 1.4229 - val_loss: 0.6860\n",
      "Epoch 189/300\n",
      "591/591 [==============================] - 83s 141ms/step - loss: 1.4223 - val_loss: 0.5960\n",
      "Epoch 190/300\n",
      "591/591 [==============================] - 82s 138ms/step - loss: 1.3671 - val_loss: 0.5902\n",
      "Epoch 191/300\n",
      "591/591 [==============================] - 83s 140ms/step - loss: 1.3980 - val_loss: 0.6524\n",
      "Epoch 192/300\n",
      "591/591 [==============================] - 82s 138ms/step - loss: 1.4130 - val_loss: 0.6580\n",
      "Epoch 193/300\n",
      "591/591 [==============================] - 83s 141ms/step - loss: 1.4272 - val_loss: 0.6032\n",
      "Epoch 194/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.4501"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 103s 174ms/step - loss: 1.4501 - val_loss: 0.5643\n",
      "Epoch 195/300\n",
      "591/591 [==============================] - 84s 142ms/step - loss: 1.3837 - val_loss: 0.6853\n",
      "Epoch 196/300\n",
      "591/591 [==============================] - 84s 141ms/step - loss: 1.4326 - val_loss: 0.5695\n",
      "Epoch 197/300\n",
      "591/591 [==============================] - 84s 142ms/step - loss: 1.3049 - val_loss: 0.6321\n",
      "Epoch 198/300\n",
      "591/591 [==============================] - 85s 143ms/step - loss: 1.3612 - val_loss: 0.6130\n",
      "Epoch 199/300\n",
      "591/591 [==============================] - 83s 140ms/step - loss: 1.3866 - val_loss: 0.7825\n",
      "Epoch 200/300\n",
      "591/591 [==============================] - 84s 142ms/step - loss: 1.5258 - val_loss: 0.8782\n",
      "Epoch 201/300\n",
      "591/591 [==============================] - 85s 143ms/step - loss: 1.3303 - val_loss: 0.5971\n",
      "Epoch 202/300\n",
      "591/591 [==============================] - 84s 142ms/step - loss: 1.3097 - val_loss: 0.5813\n",
      "Epoch 203/300\n",
      "591/591 [==============================] - 84s 143ms/step - loss: 1.3993 - val_loss: 0.6820\n",
      "Epoch 204/300\n",
      "591/591 [==============================] - 85s 143ms/step - loss: 1.6481 - val_loss: 0.6411\n",
      "Epoch 205/300\n",
      "591/591 [==============================] - 86s 146ms/step - loss: 1.3339 - val_loss: 0.9681\n",
      "Epoch 206/300\n",
      "591/591 [==============================] - 87s 148ms/step - loss: 1.4371 - val_loss: 0.6322\n",
      "Epoch 207/300\n",
      "591/591 [==============================] - 87s 147ms/step - loss: 1.2733 - val_loss: 0.6835\n",
      "Epoch 208/300\n",
      "591/591 [==============================] - 86s 145ms/step - loss: 1.3084 - val_loss: 0.6406\n",
      "Epoch 209/300\n",
      "591/591 [==============================] - 86s 146ms/step - loss: 1.3908 - val_loss: 0.7262\n",
      "Epoch 210/300\n",
      "591/591 [==============================] - 86s 145ms/step - loss: 1.3344 - val_loss: 0.7116\n",
      "Epoch 211/300\n",
      "591/591 [==============================] - 86s 146ms/step - loss: 1.5595 - val_loss: 0.8998\n",
      "Epoch 212/300\n",
      "591/591 [==============================] - 87s 147ms/step - loss: 1.2756 - val_loss: 0.6140\n",
      "Epoch 213/300\n",
      "591/591 [==============================] - 87s 147ms/step - loss: 1.7524 - val_loss: 1.0024\n",
      "Epoch 214/300\n",
      "591/591 [==============================] - 85s 143ms/step - loss: 1.4089 - val_loss: 0.6779\n",
      "Epoch 215/300\n",
      "591/591 [==============================] - 86s 145ms/step - loss: 1.4769 - val_loss: 0.6652\n",
      "Epoch 216/300\n",
      "591/591 [==============================] - 85s 144ms/step - loss: 1.4391 - val_loss: 0.6433\n",
      "Epoch 217/300\n",
      "591/591 [==============================] - 86s 145ms/step - loss: 1.3691 - val_loss: 0.8002\n",
      "Epoch 218/300\n",
      "591/591 [==============================] - 86s 145ms/step - loss: 1.4014 - val_loss: 0.5657\n",
      "Epoch 219/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.5986"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 105s 178ms/step - loss: 1.5986 - val_loss: 0.5492\n",
      "Epoch 220/300\n",
      "591/591 [==============================] - 94s 159ms/step - loss: 1.2588 - val_loss: 0.6072\n",
      "Epoch 221/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.3462 - val_loss: 0.6466\n",
      "Epoch 222/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.3381 - val_loss: 0.5642\n",
      "Epoch 223/300\n",
      "591/591 [==============================] - 87s 147ms/step - loss: 1.4059 - val_loss: 0.6765\n",
      "Epoch 224/300\n",
      "591/591 [==============================] - 92s 155ms/step - loss: 1.3420 - val_loss: 0.8124\n",
      "Epoch 225/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.2956 - val_loss: 0.6877\n",
      "Epoch 226/300\n",
      "591/591 [==============================] - 92s 156ms/step - loss: 1.2974 - val_loss: 0.6730\n",
      "Epoch 227/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.3320 - val_loss: 0.6325\n",
      "Epoch 228/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.3648 - val_loss: 0.5918\n",
      "Epoch 229/300\n",
      "591/591 [==============================] - 92s 156ms/step - loss: 1.1911 - val_loss: 0.6062\n",
      "Epoch 230/300\n",
      "591/591 [==============================] - 93s 156ms/step - loss: 1.3269 - val_loss: 0.6275\n",
      "Epoch 231/300\n",
      "591/591 [==============================] - 88s 149ms/step - loss: 1.3052 - val_loss: 0.7823\n",
      "Epoch 232/300\n",
      "591/591 [==============================] - 92s 155ms/step - loss: 1.3105 - val_loss: 1.0039\n",
      "Epoch 233/300\n",
      "591/591 [==============================] - 93s 157ms/step - loss: 1.3228 - val_loss: 1.0910\n",
      "Epoch 234/300\n",
      "591/591 [==============================] - 92s 156ms/step - loss: 1.1908 - val_loss: 0.5737\n",
      "Epoch 235/300\n",
      "591/591 [==============================] - 90s 151ms/step - loss: 1.2657 - val_loss: 0.6121\n",
      "Epoch 236/300\n",
      "591/591 [==============================] - 92s 155ms/step - loss: 1.4045 - val_loss: 0.6509\n",
      "Epoch 237/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.3912"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 111s 187ms/step - loss: 1.3912 - val_loss: 0.5368\n",
      "Epoch 238/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.2539 - val_loss: 0.6179\n",
      "Epoch 239/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.2433"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 109s 184ms/step - loss: 1.2433 - val_loss: 0.5191\n",
      "Epoch 240/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.2633 - val_loss: 0.6270\n",
      "Epoch 241/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.2506 - val_loss: 0.7159\n",
      "Epoch 242/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.2313 - val_loss: 0.8495\n",
      "Epoch 243/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.2243 - val_loss: 0.8772\n",
      "Epoch 244/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.2954 - val_loss: 0.8499\n",
      "Epoch 245/300\n",
      "591/591 [==============================] - 90s 153ms/step - loss: 1.2665 - val_loss: 0.7490\n",
      "Epoch 246/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.2412 - val_loss: 0.8430\n",
      "Epoch 247/300\n",
      "591/591 [==============================] - 91s 154ms/step - loss: 1.5156 - val_loss: 0.6904\n",
      "Epoch 248/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.2964 - val_loss: 0.5283\n",
      "Epoch 249/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.2229 - val_loss: 0.8152\n",
      "Epoch 250/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.1871 - val_loss: 0.5550\n",
      "Epoch 251/300\n",
      "591/591 [==============================] - 92s 155ms/step - loss: 1.3257 - val_loss: 0.6993\n",
      "Epoch 252/300\n",
      "591/591 [==============================] - 90s 153ms/step - loss: 1.6747 - val_loss: 0.7702\n",
      "Epoch 253/300\n",
      "591/591 [==============================] - 92s 155ms/step - loss: 1.2326 - val_loss: 0.5998\n",
      "Epoch 254/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.1684 - val_loss: 0.5513\n",
      "Epoch 255/300\n",
      "591/591 [==============================] - 88s 148ms/step - loss: 1.4818 - val_loss: 0.8377\n",
      "Epoch 256/300\n",
      "591/591 [==============================] - 88s 148ms/step - loss: 1.5370 - val_loss: 0.6295\n",
      "Epoch 257/300\n",
      "591/591 [==============================] - 88s 149ms/step - loss: 1.3002 - val_loss: 0.7881\n",
      "Epoch 258/300\n",
      "591/591 [==============================] - 88s 148ms/step - loss: 1.3776 - val_loss: 0.5992\n",
      "Epoch 259/300\n",
      "591/591 [==============================] - 88s 149ms/step - loss: 1.5083 - val_loss: 0.9514\n",
      "Epoch 260/300\n",
      "591/591 [==============================] - 88s 149ms/step - loss: 1.5025 - val_loss: 0.5788\n",
      "Epoch 261/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.3406 - val_loss: 0.9130\n",
      "Epoch 262/300\n",
      "591/591 [==============================] - 88s 149ms/step - loss: 1.3287 - val_loss: 0.6543\n",
      "Epoch 263/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.4088 - val_loss: 0.6375\n",
      "Epoch 264/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.3634 - val_loss: 0.5802\n",
      "Epoch 265/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.4896 - val_loss: 0.6471\n",
      "Epoch 266/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.2624 - val_loss: 0.5578\n",
      "Epoch 267/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.3908 - val_loss: 0.8223\n",
      "Epoch 268/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.5624 - val_loss: 0.6314\n",
      "Epoch 269/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.1816 - val_loss: 0.6479\n",
      "Epoch 270/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.3261 - val_loss: 0.6251\n",
      "Epoch 271/300\n",
      "591/591 [==============================] - 89s 150ms/step - loss: 1.4161 - val_loss: 0.7725\n",
      "Epoch 272/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.4561 - val_loss: 0.6987\n",
      "Epoch 273/300\n",
      "591/591 [==============================] - 90s 151ms/step - loss: 1.4136 - val_loss: 0.9138\n",
      "Epoch 274/300\n",
      "591/591 [==============================] - 90s 153ms/step - loss: 1.5424 - val_loss: 0.6380\n",
      "Epoch 275/300\n",
      "591/591 [==============================] - 89s 151ms/step - loss: 1.2758 - val_loss: 0.5981\n",
      "Epoch 276/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.3352 - val_loss: 0.6154\n",
      "Epoch 277/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.2474 - val_loss: 0.5329\n",
      "Epoch 278/300\n",
      "591/591 [==============================] - 90s 153ms/step - loss: 1.3312 - val_loss: 0.6549\n",
      "Epoch 279/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.3870 - val_loss: 0.7333\n",
      "Epoch 280/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.2598 - val_loss: 0.7534\n",
      "Epoch 281/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.2331 - val_loss: 0.6282\n",
      "Epoch 282/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.3767 - val_loss: 0.7362\n",
      "Epoch 283/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.1693 - val_loss: 0.7778\n",
      "Epoch 284/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.1920 - val_loss: 0.7211\n",
      "Epoch 285/300\n",
      "591/591 [==============================] - 93s 157ms/step - loss: 1.2553 - val_loss: 0.6795\n",
      "Epoch 286/300\n",
      "591/591 [==============================] - 90s 153ms/step - loss: 1.1911 - val_loss: 0.5754\n",
      "Epoch 287/300\n",
      "591/591 [==============================] - 90s 153ms/step - loss: 1.2971 - val_loss: 0.7527\n",
      "Epoch 288/300\n",
      "591/591 [==============================] - 90s 152ms/step - loss: 1.4289 - val_loss: 0.7330\n",
      "Epoch 289/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.1942 - val_loss: 0.5874\n",
      "Epoch 290/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.3435 - val_loss: 0.6610\n",
      "Epoch 291/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.2178 - val_loss: 0.6275\n",
      "Epoch 292/300\n",
      "591/591 [==============================] - 90s 153ms/step - loss: 1.2576 - val_loss: 0.6088\n",
      "Epoch 293/300\n",
      "591/591 [==============================] - 91s 153ms/step - loss: 1.3340 - val_loss: 0.6043\n",
      "Epoch 294/300\n",
      "591/591 [==============================] - 91s 154ms/step - loss: 1.1856 - val_loss: 0.7632\n",
      "Epoch 295/300\n",
      "591/591 [==============================] - 94s 158ms/step - loss: 1.3617 - val_loss: 0.5239\n",
      "Epoch 296/300\n",
      "591/591 [==============================] - 94s 159ms/step - loss: 1.1552 - val_loss: 0.5508\n",
      "Epoch 297/300\n",
      "591/591 [==============================] - 94s 159ms/step - loss: 1.2066 - val_loss: 0.6861\n",
      "Epoch 298/300\n",
      "591/591 [==============================] - 94s 158ms/step - loss: 1.2296 - val_loss: 0.6228\n",
      "Epoch 299/300\n",
      "591/591 [==============================] - 97s 165ms/step - loss: 1.3121 - val_loss: 0.6698\n",
      "Epoch 300/300\n",
      "591/591 [==============================] - ETA: 0s - loss: 1.2276"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 57). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: C:\\Users\\24306\\Desktop\\RegNetY002\\0\\RegNetY002.ckpt\\assets\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "591/591 [==============================] - 116s 195ms/step - loss: 1.2276 - val_loss: 0.5126\n",
      "end time: Wed Apr 12 23:57:41 2023\n"
     ]
    }
   ],
   "source": [
    "print ('start time:',time.asctime( time.localtime(time.time()) ))\n",
    "model.compile(optimizer=keras.optimizers.Adam(learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07, decay=0.01),loss='mse')\n",
    "\n",
    "cp_callback = tf.keras.callbacks.ModelCheckpoint(checkpoint_path,save_best_only=True,monitor='val_loss')\n",
    "history = model.fit(train_data,\n",
    "                    steps_per_epoch=train_count//BATCH_SIZE,\n",
    "                    epochs=300,\n",
    "                    validation_data=test_data,\n",
    "                    validation_steps=test_count//BATCH_SIZE,\n",
    "                    callbacks=[cp_callback])\n",
    "#要改\n",
    "np.savetxt('RegNetY002_loss_0.txt',history.history['loss'])\n",
    "#要改\n",
    "np.savetxt('RegNetY002_valloss_0.txt',history.history['val_loss'])\n",
    "print ('end time:',time.asctime( time.localtime(time.time()) ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}