Demo20210108.ipynb

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  "metadata": {
    "colab": {
      "name": "Demo20210108.ipynb",
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "accelerator": "GPU"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nrRSs_sUv08D"
      },
      "source": [
        "## 作業\n",
        "\n",
        "目標: 建立一深度學習模型預測客戶是否流失\n",
        "\n",
        "- 問題一: 請將資料區分為訓練與測試資料集\n",
        "- 問題二: 請將資料標準化\n",
        "- 問題三: 使用Keras 建立深度學習模型預測客戶是否流失\n",
        "- 問題四: 評估模型準確度\n",
        "- 問題五: 請繪製ROC Curve, 並求出 AUC\n",
        "- 問題六: 請比較 ANN, SVM, Gradient Boosting, Random Forest, Logist Regression, Decision Tree 各模型的 AUC 與 ROC Curve"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 222
        },
        "id": "uNy0vbyevw-1",
        "outputId": "810bb308-3400-4ce3-eb4c-5597b2b876f6"
      },
      "source": [
        "import pandas\n",
        "df = pandas.read_csv('https://raw.githubusercontent.com/ywchiu/fubondl/master/data/Churn_Modelling.csv', header = 0 )\n",
        "df.head()"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>RowNumber</th>\n",
              "      <th>CustomerId</th>\n",
              "      <th>Surname</th>\n",
              "      <th>CreditScore</th>\n",
              "      <th>Geography</th>\n",
              "      <th>Gender</th>\n",
              "      <th>Age</th>\n",
              "      <th>Tenure</th>\n",
              "      <th>Balance</th>\n",
              "      <th>NumOfProducts</th>\n",
              "      <th>HasCrCard</th>\n",
              "      <th>IsActiveMember</th>\n",
              "      <th>EstimatedSalary</th>\n",
              "      <th>Exited</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>15634602</td>\n",
              "      <td>Hargrave</td>\n",
              "      <td>619</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "      <td>42</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>101348.88</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>15647311</td>\n",
              "      <td>Hill</td>\n",
              "      <td>608</td>\n",
              "      <td>Spain</td>\n",
              "      <td>Female</td>\n",
              "      <td>41</td>\n",
              "      <td>1</td>\n",
              "      <td>83807.86</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>112542.58</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>15619304</td>\n",
              "      <td>Onio</td>\n",
              "      <td>502</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "      <td>42</td>\n",
              "      <td>8</td>\n",
              "      <td>159660.80</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>113931.57</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>15701354</td>\n",
              "      <td>Boni</td>\n",
              "      <td>699</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>93826.63</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>15737888</td>\n",
              "      <td>Mitchell</td>\n",
              "      <td>850</td>\n",
              "      <td>Spain</td>\n",
              "      <td>Female</td>\n",
              "      <td>43</td>\n",
              "      <td>2</td>\n",
              "      <td>125510.82</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>79084.10</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   RowNumber  CustomerId   Surname  ...  IsActiveMember EstimatedSalary Exited\n",
              "0          1    15634602  Hargrave  ...               1       101348.88      1\n",
              "1          2    15647311      Hill  ...               1       112542.58      0\n",
              "2          3    15619304      Onio  ...               0       113931.57      1\n",
              "3          4    15701354      Boni  ...               0        93826.63      0\n",
              "4          5    15737888  Mitchell  ...               1        79084.10      0\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        }
      ]
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    {
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        "id": "MAUAJTDCwHfA",
        "outputId": "b2ded9ba-7f54-4245-fb91-ae61beeb0866"
      },
      "source": [
        "df.isna().sum()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RowNumber          0\n",
              "CustomerId         0\n",
              "Surname            0\n",
              "CreditScore        0\n",
              "Geography          0\n",
              "Gender             0\n",
              "Age                0\n",
              "Tenure             0\n",
              "Balance            0\n",
              "NumOfProducts      0\n",
              "HasCrCard          0\n",
              "IsActiveMember     0\n",
              "EstimatedSalary    0\n",
              "Exited             0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7ay8Kq9twVTU",
        "outputId": "e0c12d5d-fd1b-4a6f-ef0a-3b79904f8899"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 10000 entries, 0 to 9999\n",
            "Data columns (total 14 columns):\n",
            " #   Column           Non-Null Count  Dtype  \n",
            "---  ------           --------------  -----  \n",
            " 0   RowNumber        10000 non-null  int64  \n",
            " 1   CustomerId       10000 non-null  int64  \n",
            " 2   Surname          10000 non-null  object \n",
            " 3   CreditScore      10000 non-null  int64  \n",
            " 4   Geography        10000 non-null  object \n",
            " 5   Gender           10000 non-null  object \n",
            " 6   Age              10000 non-null  int64  \n",
            " 7   Tenure           10000 non-null  int64  \n",
            " 8   Balance          10000 non-null  float64\n",
            " 9   NumOfProducts    10000 non-null  int64  \n",
            " 10  HasCrCard        10000 non-null  int64  \n",
            " 11  IsActiveMember   10000 non-null  int64  \n",
            " 12  EstimatedSalary  10000 non-null  float64\n",
            " 13  Exited           10000 non-null  int64  \n",
            "dtypes: float64(2), int64(9), object(3)\n",
            "memory usage: 1.1+ MB\n"
          ],
          "name": "stdout"
        }
      ]
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    {
      "cell_type": "code",
      "metadata": {
        "colab": {
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          "height": 202
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        "id": "cs-c6J_Owc5D",
        "outputId": "c2dffd8d-9586-4e00-9f5e-e4ac7d587862"
      },
      "source": [
        "df.select_dtypes('object').head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Surname</th>\n",
              "      <th>Geography</th>\n",
              "      <th>Gender</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Hargrave</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Hill</td>\n",
              "      <td>Spain</td>\n",
              "      <td>Female</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Onio</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Boni</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Mitchell</td>\n",
              "      <td>Spain</td>\n",
              "      <td>Female</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "    Surname Geography  Gender\n",
              "0  Hargrave    France  Female\n",
              "1      Hill     Spain  Female\n",
              "2      Onio    France  Female\n",
              "3      Boni    France  Female\n",
              "4  Mitchell     Spain  Female"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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          "base_uri": "https://localhost:8080/"
        },
        "id": "c5D6YbNqwu5w",
        "outputId": "975ef526-122f-4189-f9ae-842d8d73c0e8"
      },
      "source": [
        "len(df['Surname'].unique())"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2932"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oTTQGvd3w4CX",
        "outputId": "0d548a33-761a-490a-accf-068dbc96548c"
      },
      "source": [
        "len(df['Geography'].unique())"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
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    {
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        "id": "Fbb8MdHjxCRW",
        "outputId": "cbaaadf4-58f5-48c3-fcdd-8378227f5abe"
      },
      "source": [
        "len(df['Gender'].unique())"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 222
        },
        "id": "dN4Y_LLXxDf1",
        "outputId": "d951eeb8-402b-434b-8e69-a6873962a5e9"
      },
      "source": [
        "df = df.iloc[:,3:]\n",
        "df.head()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>CreditScore</th>\n",
              "      <th>Geography</th>\n",
              "      <th>Gender</th>\n",
              "      <th>Age</th>\n",
              "      <th>Tenure</th>\n",
              "      <th>Balance</th>\n",
              "      <th>NumOfProducts</th>\n",
              "      <th>HasCrCard</th>\n",
              "      <th>IsActiveMember</th>\n",
              "      <th>EstimatedSalary</th>\n",
              "      <th>Exited</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>619</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "      <td>42</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>101348.88</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>608</td>\n",
              "      <td>Spain</td>\n",
              "      <td>Female</td>\n",
              "      <td>41</td>\n",
              "      <td>1</td>\n",
              "      <td>83807.86</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>112542.58</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>502</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "      <td>42</td>\n",
              "      <td>8</td>\n",
              "      <td>159660.80</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>113931.57</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>699</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>93826.63</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>850</td>\n",
              "      <td>Spain</td>\n",
              "      <td>Female</td>\n",
              "      <td>43</td>\n",
              "      <td>2</td>\n",
              "      <td>125510.82</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>79084.10</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   CreditScore Geography  Gender  ...  IsActiveMember  EstimatedSalary  Exited\n",
              "0          619    France  Female  ...               1        101348.88       1\n",
              "1          608     Spain  Female  ...               1        112542.58       0\n",
              "2          502    France  Female  ...               0        113931.57       1\n",
              "3          699    France  Female  ...               0         93826.63       0\n",
              "4          850     Spain  Female  ...               1         79084.10       0\n",
              "\n",
              "[5 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        },
        "id": "7xdJsTgTxeCx",
        "outputId": "95f388bc-a4a1-4077-c08f-89377e206213"
      },
      "source": [
        "geo = pandas.get_dummies(df['Geography'])\n",
        "del geo['Spain']\n",
        "geo.head()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>France</th>\n",
              "      <th>Germany</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   France  Germany\n",
              "0       1        0\n",
              "1       0        0\n",
              "2       1        0\n",
              "3       1        0\n",
              "4       0        0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        },
        "id": "SfPZygRIyWeZ",
        "outputId": "4e28687f-fd48-4a96-9b2d-8755191f7913"
      },
      "source": [
        "gender = pandas.get_dummies(df['Gender'])\n",
        "gender.head()\n",
        "del gender['Male']\n",
        "gender.head()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Female</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Female\n",
              "0       1\n",
              "1       1\n",
              "2       1\n",
              "3       1\n",
              "4       1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tpeQPd-2ydow"
      },
      "source": [
        "df = pandas.concat([geo, gender, df], axis = 1)\n",
        "del df['Gender']\n",
        "del df['Geography']"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 222
        },
        "id": "42dA_TA0yy8V",
        "outputId": "714c936c-02ae-4d78-a698-7ddca495887a"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>France</th>\n",
              "      <th>Germany</th>\n",
              "      <th>Female</th>\n",
              "      <th>CreditScore</th>\n",
              "      <th>Age</th>\n",
              "      <th>Tenure</th>\n",
              "      <th>Balance</th>\n",
              "      <th>NumOfProducts</th>\n",
              "      <th>HasCrCard</th>\n",
              "      <th>IsActiveMember</th>\n",
              "      <th>EstimatedSalary</th>\n",
              "      <th>Exited</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>619</td>\n",
              "      <td>42</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>101348.88</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>608</td>\n",
              "      <td>41</td>\n",
              "      <td>1</td>\n",
              "      <td>83807.86</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>112542.58</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>502</td>\n",
              "      <td>42</td>\n",
              "      <td>8</td>\n",
              "      <td>159660.80</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>113931.57</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>699</td>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>93826.63</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>850</td>\n",
              "      <td>43</td>\n",
              "      <td>2</td>\n",
              "      <td>125510.82</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>79084.10</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   France  Germany  Female  ...  IsActiveMember  EstimatedSalary  Exited\n",
              "0       1        0       1  ...               1        101348.88       1\n",
              "1       0        0       1  ...               1        112542.58       0\n",
              "2       1        0       1  ...               0        113931.57       1\n",
              "3       1        0       1  ...               0         93826.63       0\n",
              "4       0        0       1  ...               1         79084.10       0\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W0BC07sHy7Tr",
        "outputId": "1ab35b4b-c935-4797-8eec-b4562930515f"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 10000 entries, 0 to 9999\n",
            "Data columns (total 12 columns):\n",
            " #   Column           Non-Null Count  Dtype  \n",
            "---  ------           --------------  -----  \n",
            " 0   France           10000 non-null  uint8  \n",
            " 1   Germany          10000 non-null  uint8  \n",
            " 2   Female           10000 non-null  uint8  \n",
            " 3   CreditScore      10000 non-null  int64  \n",
            " 4   Age              10000 non-null  int64  \n",
            " 5   Tenure           10000 non-null  int64  \n",
            " 6   Balance          10000 non-null  float64\n",
            " 7   NumOfProducts    10000 non-null  int64  \n",
            " 8   HasCrCard        10000 non-null  int64  \n",
            " 9   IsActiveMember   10000 non-null  int64  \n",
            " 10  EstimatedSalary  10000 non-null  float64\n",
            " 11  Exited           10000 non-null  int64  \n",
            "dtypes: float64(2), int64(7), uint8(3)\n",
            "memory usage: 732.5 KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kUlwr7WFzAua"
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X = df.iloc[:,:-1]\n",
        "y = df.iloc[:,-1]\n",
        "\n",
        "train_X, test_X, train_y, test_y = train_test_split(X,y, test_size = 0.2, random_state = 42 )"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FfTdJy9vzfcY",
        "outputId": "12ec9ccd-30da-412b-d938-0976e2dd5c5e"
      },
      "source": [
        "train_X.shape"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(8000, 11)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Wy--kBbRzk4d",
        "outputId": "c0f8d187-d2b2-4b57-9b90-1334b291c6c0"
      },
      "source": [
        "test_X.shape"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2000, 11)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AdE8PrYBznH9",
        "outputId": "e90ed65e-704a-4786-9a6f-8210ac70ad5b"
      },
      "source": [
        "train_y.shape"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(8000,)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MbGjJ4D0zo40",
        "outputId": "5054e710-eeca-4dba-ddf6-ed3929d525ae"
      },
      "source": [
        "test_y.shape"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2000,)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w_-JqvFvzql0"
      },
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "sc = StandardScaler()\n",
        "train_X = sc.fit_transform(train_X)\n",
        "test_X = sc.transform(test_X)"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g-jSrNH-0UNW",
        "outputId": "4171d4a4-f309-4d72-9ae9-b474eca6d0a0"
      },
      "source": [
        "train_X[0:3]"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1.00150113, -0.57946723, -0.91324755,  0.35649971, -0.6557859 ,\n",
              "         0.34567966, -1.21847056,  0.80843615,  0.64920267,  0.97481699,\n",
              "         1.36766974],\n",
              "       [-0.99850112,  1.72572313, -0.91324755, -0.20389777,  0.29493847,\n",
              "        -0.3483691 ,  0.69683765,  0.80843615,  0.64920267,  0.97481699,\n",
              "         1.6612541 ],\n",
              "       [-0.99850112, -0.57946723, -0.91324755, -0.96147213, -1.41636539,\n",
              "        -0.69539349,  0.61862909, -0.91668767,  0.64920267, -1.02583358,\n",
              "        -0.25280688]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nDKausaB0mur"
      },
      "source": [
        "import tensorflow as tf\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.optimizers import SGD\n",
        "from tensorflow.keras.layers import Activation, Dense, Dropout"
      ],
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VEc4x-Yh1LHO"
      },
      "source": [
        "model = Sequential()\n",
        "model.add(Dense(6, activation = 'relu', input_shape=(11,)))\n",
        "model.add(Dropout(rate=0.1))\n",
        "model.add(Dense(6, activation = 'relu'))\n",
        "model.add(Dropout(rate=0.1))\n",
        "model.add(Dense(1, activation= 'sigmoid'))"
      ],
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "clXeJO3T1npJ"
      },
      "source": [
        "model.compile(loss='binary_crossentropy',\n",
        "              optimizer='adam',\n",
        "              metrics=['accuracy'])"
      ],
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h3W7GNux2Ce9",
        "outputId": "0fa99506-fc7f-435d-9438-5f67b574cbd1"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_5\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense_8 (Dense)              (None, 6)                 72        \n",
            "_________________________________________________________________\n",
            "dropout_4 (Dropout)          (None, 6)                 0         \n",
            "_________________________________________________________________\n",
            "dense_9 (Dense)              (None, 6)                 42        \n",
            "_________________________________________________________________\n",
            "dropout_5 (Dropout)          (None, 6)                 0         \n",
            "_________________________________________________________________\n",
            "dense_10 (Dense)             (None, 1)                 7         \n",
            "=================================================================\n",
            "Total params: 121\n",
            "Trainable params: 121\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qegt1whQ2NF0"
      },
      "source": [
        "history = model.fit(train_X, train_y,\n",
        "                    batch_size = 32, \n",
        "                    epochs = 100,\n",
        "                    validation_data = (test_X, test_y))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jjf5duZ28Jyi",
        "outputId": "986e41c4-2fca-4c31-ca73-298c183e309b"
      },
      "source": [
        "model.predict(test_X).flatten()"
      ],
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.05042278, 0.05163375, 0.17906581, ..., 0.72532964, 0.1614057 ,\n",
              "       0.24536137], dtype=float32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W3tUDjTz2Z7S"
      },
      "source": [
        "pred_y = (model.predict(test_X) > 0.5).flatten().astype(int)"
      ],
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kuMJ8to53Wer",
        "outputId": "cc84dd15-5338-418a-85dc-66966d9ea5e9"
      },
      "source": [
        "from sklearn.metrics import accuracy_score, confusion_matrix\n",
        "accuracy_score(test_y, pred_y)"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.861"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LmqLTQQe3q6O",
        "outputId": "d50980ca-1c96-43a0-b31a-6dd6603c56ba"
      },
      "source": [
        "confusion_matrix(test_y, pred_y)"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1551,   56],\n",
              "       [ 222,  171]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "9IPZrhO23trd",
        "outputId": "ad562c68-afed-46ec-bd6c-5c00c69920a8"
      },
      "source": [
        "from matplotlib import pyplot as plt\n",
        "plt.plot(range(len(history.history.get('accuracy'))),history.history.get('accuracy'))"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f3b9eca9828>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 61
        },
        {
          "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": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "3krEVT6e4Si5",
        "outputId": "e4dd0449-ef93-4451-b6d0-3707bdae11db"
      },
      "source": [
        "from matplotlib import pyplot as plt\n",
        "plt.plot(range(len(history.history.get('loss'))),history.history.get('loss'))"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f3b9ec31a90>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 62
        },
        {
          "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": "jjdcc9FG4sh8"
      },
      "source": [
        "pred_y2 = model.predict(test_X).flatten()"
      ],
      "execution_count": 63,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Mi4u0qrg4fEO"
      },
      "source": [
        "from sklearn.metrics import roc_curve, auc\n",
        "fpr, tpr, threshold = roc_curve(test_y, pred_y2)"
      ],
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "qC8wUf8I4zWj",
        "outputId": "fef4d0b4-554a-4b80-9029-1be116f1a4f1"
      },
      "source": [
        "plt.plot(fpr, tpr)"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f3b9e7259e8>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 66
        },
        {
          "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": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "odbIl02d46hq",
        "outputId": "3f0af93f-d903-4c74-ead1-f6d4e4bcd774"
      },
      "source": [
        "auc(fpr, tpr)"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.8575491132149264"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TYUG57cL4_Rq",
        "outputId": "274bac45-6045-431f-ef59-8d9b84cca1fe"
      },
      "source": [
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.ensemble import GradientBoostingClassifier\n",
        "\n",
        "clf1 = DecisionTreeClassifier()\n",
        "clf1.fit(train_X, train_y)\n",
        "\n",
        "clf2 = SVC(probability = True)\n",
        "clf2.fit(train_X, train_y)\n",
        "\n",
        "clf3 = LogisticRegression()\n",
        "clf3.fit(train_X, train_y)\n",
        "\n",
        "clf4 = RandomForestClassifier()\n",
        "clf4.fit(train_X, train_y)\n",
        "\n",
        "clf5 = GradientBoostingClassifier()\n",
        "clf5.fit(train_X, train_y)"
      ],
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None,\n",
              "                           learning_rate=0.1, loss='deviance', max_depth=3,\n",
              "                           max_features=None, max_leaf_nodes=None,\n",
              "                           min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                           min_samples_leaf=1, min_samples_split=2,\n",
              "                           min_weight_fraction_leaf=0.0, n_estimators=100,\n",
              "                           n_iter_no_change=None, presort='deprecated',\n",
              "                           random_state=None, subsample=1.0, tol=0.0001,\n",
              "                           validation_fraction=0.1, verbose=0,\n",
              "                           warm_start=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 656
        },
        "id": "pObP3Urw5Tg-",
        "outputId": "04b062bd-3025-470a-814c-bebfd5d3938d"
      },
      "source": [
        "from sklearn.metrics import auc\n",
        "from sklearn.metrics import roc_curve\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "plt.figure(figsize= [20,10])\n",
        "for clf, title in zip([model,clf1,clf2,clf3, clf4, clf5], ['ANN','Decision Tree', 'SVM', 'LogisticRegression', 'RandomForest', 'GradientBoostingClassfier']):\n",
        "    if title != 'ANN':\n",
        "        probas_ = clf.fit(train_X, train_y).predict_proba(test_X)\n",
        "        fpr, tpr, thresholds = roc_curve(test_y, probas_[:, 1])\n",
        "    else:\n",
        "        pred_y = clf.predict(test_X)\n",
        "        fpr, tpr, thresholds = roc_curve(test_y, pred_y)\n",
        "    plt.plot(fpr, tpr, label='%s - AUC:%.2f'%(title, auc(fpr, tpr)) )\n",
        "    \n",
        "plt.plot([0, 1], [0, 1], 'k--')\n",
        "plt.xlim([0.0, 1.0])\n",
        "plt.ylim([0.0, 1.0])\n",
        "plt.xlabel('False Positive Rate', fontsize = 20)\n",
        "plt.ylabel('True Positive Rate', fontsize = 20)\n",
        "plt.title('Receiver operating characteristic example', fontsize = 20)\n",
        "plt.legend(loc=\"lower right\", fontsize = 20)\n",
        "plt.show()\n"
      ],
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OuT4819z5wby",
        "outputId": "4d81ed49-cbbb-47fe-b1df-c3add2e772cf"
      },
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "import numpy as np\n",
        "a = np.array([50,60,70])\n",
        "a.mean(), a.std()\n"
      ],
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(60.0, 8.16496580927726)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ce5C1KUS6bn1",
        "outputId": "fa36c5cd-3fe0-4567-a1d5-eaf470ae7107"
      },
      "source": [
        "(a - a.mean()) / a.std()"
      ],
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-1.22474487,  0.        ,  1.22474487])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "78nwOlJa54xB",
        "outputId": "ed9c6099-c092-4703-efea-47c9ee26c3aa"
      },
      "source": [
        "sc = StandardScaler()\n",
        "sc.fit(a.reshape(-1,1))\n",
        "sc.mean_, sc.var_"
      ],
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([60.]), array([66.66666667]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8gXym_OS5ZXl",
        "outputId": "e0e8f002-aef3-4282-b64a-334bb822d034"
      },
      "source": [
        "sc.transform(a.reshape(-1,1))"
      ],
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[-1.22474487],\n",
              "       [ 0.        ],\n",
              "       [ 1.22474487]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 215
        },
        "id": "lZjVdQ-d6k4M",
        "outputId": "d6bce590-85e7-4a4f-e58c-5054fa8b026f"
      },
      "source": [
        "import pandas\n",
        "df = pandas.read_csv('https://raw.githubusercontent.com/ywchiu/fubondl/master/data/Churn_Modelling.csv', header = 0 )\n",
        "df.head()"
      ],
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>RowNumber</th>\n",
              "      <th>CustomerId</th>\n",
              "      <th>Surname</th>\n",
              "      <th>CreditScore</th>\n",
              "      <th>Geography</th>\n",
              "      <th>Gender</th>\n",
              "      <th>Age</th>\n",
              "      <th>Tenure</th>\n",
              "      <th>Balance</th>\n",
              "      <th>NumOfProducts</th>\n",
              "      <th>HasCrCard</th>\n",
              "      <th>IsActiveMember</th>\n",
              "      <th>EstimatedSalary</th>\n",
              "      <th>Exited</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>15634602</td>\n",
              "      <td>Hargrave</td>\n",
              "      <td>619</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "      <td>42</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>101348.88</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>15647311</td>\n",
              "      <td>Hill</td>\n",
              "      <td>608</td>\n",
              "      <td>Spain</td>\n",
              "      <td>Female</td>\n",
              "      <td>41</td>\n",
              "      <td>1</td>\n",
              "      <td>83807.86</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>112542.58</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>15619304</td>\n",
              "      <td>Onio</td>\n",
              "      <td>502</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "      <td>42</td>\n",
              "      <td>8</td>\n",
              "      <td>159660.80</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>113931.57</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>15701354</td>\n",
              "      <td>Boni</td>\n",
              "      <td>699</td>\n",
              "      <td>France</td>\n",
              "      <td>Female</td>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>93826.63</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>15737888</td>\n",
              "      <td>Mitchell</td>\n",
              "      <td>850</td>\n",
              "      <td>Spain</td>\n",
              "      <td>Female</td>\n",
              "      <td>43</td>\n",
              "      <td>2</td>\n",
              "      <td>125510.82</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>79084.10</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   RowNumber  CustomerId   Surname  ...  IsActiveMember EstimatedSalary Exited\n",
              "0          1    15634602  Hargrave  ...               1       101348.88      1\n",
              "1          2    15647311      Hill  ...               1       112542.58      0\n",
              "2          3    15619304      Onio  ...               0       113931.57      1\n",
              "3          4    15701354      Boni  ...               0        93826.63      0\n",
              "4          5    15737888  Mitchell  ...               1        79084.10      0\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yooXG2uD9t_O",
        "outputId": "528abaf8-3753-4f26-a254-003987d94b6b"
      },
      "source": [
        "list(df.select_dtypes('object').columns)"
      ],
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Surname', 'Geography', 'Gender']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j98rIsVC9ibZ"
      },
      "source": [
        "#df.drop(list(df.select_dtypes('object').columns), axis = 1)"
      ],
      "execution_count": 91,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KTfRfgVW9n5Y"
      },
      "source": [
        "#?df.filter"
      ],
      "execution_count": 96,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RZv5Mf1K02FE"
      },
      "source": [
        "## CNN"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5xPKz5F0-zmm"
      },
      "source": [
        "from tensorflow.keras.datasets import mnist\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Activation, Dense, Flatten, Conv2D, MaxPooling2D"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "se60VyON1IoC",
        "outputId": "06c9189b-45e2-4f15-b86e-4b9f320b5f76"
      },
      "source": [
        "(x_train, y_train), (x_test, y_test) = mnist.load_data()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n",
            "11493376/11490434 [==============================] - 0s 0us/step\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IEHLdDWz1LSb",
        "outputId": "af30ad3c-8876-4614-abb7-71a5612a26f3"
      },
      "source": [
        "x_train.shape"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(60000, 28, 28)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SgtYneis1Nla",
        "outputId": "5521aa76-6b27-4430-f2c2-d1a429b87e19"
      },
      "source": [
        "x_test.shape"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10000, 28, 28)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KlM976f91P9h"
      },
      "source": [
        "x_train = x_train.reshape(60000, 28,28,1)\n",
        "x_test = x_test.reshape(10000, 28,28,1)"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4zwR_Wut1gvQ"
      },
      "source": [
        "x_train = x_train.astype('float32')\n",
        "x_test  = x_test.astype('float32')"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "35H7u7dY1nFf"
      },
      "source": [
        "x_train = x_train / 255.0\n",
        "x_test = x_test / 255.0"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fApFv4451svV"
      },
      "source": [
        "from tensorflow.keras.utils import to_categorical\n",
        "n_classes = 10\n",
        "y_train = to_categorical(y_train, n_classes)\n",
        "y_test  = to_categorical(y_test, n_classes)"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "F3tOK0T51638",
        "outputId": "2fc3f2ee-8716-4c2c-c2c6-db7491434bc4"
      },
      "source": [
        "y_train[0]"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0., 0., 0., 0., 0., 1., 0., 0., 0., 0.], dtype=float32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Odl6-Jav197T"
      },
      "source": [
        "n_hidden_1 = 256 \n",
        "n_classes  = 10 \n",
        "\n",
        "training_epochs = 15\n",
        "batch_size      = 100"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hcxji2J02Jrx"
      },
      "source": [
        "model = Sequential()\n",
        "\n",
        "# Convolution\n",
        "model.add(Conv2D(\n",
        "            filters=16,\n",
        "            kernel_size = (3,3),\n",
        "            padding = 'same',\n",
        "            input_shape = (28,28,1), \n",
        "            activation = 'relu'))\n",
        "\n",
        "# Max Pooling\n",
        "model.add(MaxPooling2D(pool_size=(2,2)))\n",
        "\n",
        "# Flattening\n",
        "model.add(Flatten())\n",
        "\n",
        "# Fully Connected\n",
        "model.add(Dense(n_hidden_1, activation='relu'))\n",
        "\n",
        "model.add(Dense(n_classes, activation='softmax'))"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vMmLA8dA3IGa"
      },
      "source": [
        "model.compile(loss='categorical_crossentropy',\n",
        "              optimizer='adam',\n",
        "              metrics=['accuracy'])"
      ],
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kkIPqRK955wN",
        "outputId": "af48da47-5759-4672-fb96-82f66862eca9"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_5\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "conv2d_5 (Conv2D)            (None, 28, 28, 16)        160       \n",
            "_________________________________________________________________\n",
            "max_pooling2d_5 (MaxPooling2 (None, 14, 14, 16)        0         \n",
            "_________________________________________________________________\n",
            "flatten_5 (Flatten)          (None, 3136)              0         \n",
            "_________________________________________________________________\n",
            "dense_10 (Dense)             (None, 256)               803072    \n",
            "_________________________________________________________________\n",
            "dense_11 (Dense)             (None, 10)                2570      \n",
            "=================================================================\n",
            "Total params: 805,802\n",
            "Trainable params: 805,802\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uS4HHa6p3SE_",
        "outputId": "86685823-3fa6-4c93-ed9f-29d242dbf3d0"
      },
      "source": [
        "history = model.fit(x_train, y_train,\n",
        "                    batch_size=batch_size,\n",
        "                    epochs=15,\n",
        "                    verbose=1,\n",
        "                    validation_data=(x_test, y_test))"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.4041 - accuracy: 0.8873 - val_loss: 0.0804 - val_accuracy: 0.9766\n",
            "Epoch 2/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0707 - accuracy: 0.9786 - val_loss: 0.0533 - val_accuracy: 0.9819\n",
            "Epoch 3/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0433 - accuracy: 0.9870 - val_loss: 0.0506 - val_accuracy: 0.9832\n",
            "Epoch 4/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0309 - accuracy: 0.9905 - val_loss: 0.0482 - val_accuracy: 0.9842\n",
            "Epoch 5/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0201 - accuracy: 0.9941 - val_loss: 0.0417 - val_accuracy: 0.9858\n",
            "Epoch 6/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0151 - accuracy: 0.9955 - val_loss: 0.0453 - val_accuracy: 0.9847\n",
            "Epoch 7/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0108 - accuracy: 0.9968 - val_loss: 0.0469 - val_accuracy: 0.9861\n",
            "Epoch 8/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0098 - accuracy: 0.9973 - val_loss: 0.0511 - val_accuracy: 0.9843\n",
            "Epoch 9/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0071 - accuracy: 0.9979 - val_loss: 0.0459 - val_accuracy: 0.9866\n",
            "Epoch 10/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0071 - accuracy: 0.9980 - val_loss: 0.0459 - val_accuracy: 0.9878\n",
            "Epoch 11/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0037 - accuracy: 0.9989 - val_loss: 0.0523 - val_accuracy: 0.9861\n",
            "Epoch 12/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0067 - accuracy: 0.9977 - val_loss: 0.0483 - val_accuracy: 0.9874\n",
            "Epoch 13/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0033 - accuracy: 0.9990 - val_loss: 0.0552 - val_accuracy: 0.9858\n",
            "Epoch 14/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0023 - accuracy: 0.9994 - val_loss: 0.0567 - val_accuracy: 0.9864\n",
            "Epoch 15/15\n",
            "600/600 [==============================] - 2s 3ms/step - loss: 0.0021 - accuracy: 0.9995 - val_loss: 0.0619 - val_accuracy: 0.9862\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "styevaqm3aDG",
        "outputId": "e2db18a2-a2d1-4452-c855-0149717b8d23"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_2\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "conv2d_2 (Conv2D)            (None, 28, 28, 16)        160       \n",
            "_________________________________________________________________\n",
            "max_pooling2d_2 (MaxPooling2 (None, 14, 14, 16)        0         \n",
            "_________________________________________________________________\n",
            "flatten_2 (Flatten)          (None, 3136)              0         \n",
            "_________________________________________________________________\n",
            "dense_4 (Dense)              (None, 256)               803072    \n",
            "_________________________________________________________________\n",
            "dense_5 (Dense)              (None, 10)                2570      \n",
            "=================================================================\n",
            "Total params: 805,802\n",
            "Trainable params: 805,802\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-O8_Rlxu3xvr",
        "outputId": "6a198f1c-8715-43a1-ca48-ebdff94aaa7e"
      },
      "source": [
        "! wget https://raw.githubusercontent.com/ywchiu/fubondl/main/CNN/4.jpg"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-01-08 07:24:37--  https://raw.githubusercontent.com/ywchiu/fubondl/main/CNN/4.jpg\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1078 (1.1K) [image/jpeg]\n",
            "Saving to: ‘4.jpg’\n",
            "\n",
            "4.jpg               100%[===================>]   1.05K  --.-KB/s    in 0s      \n",
            "\n",
            "2021-01-08 07:24:37 (49.6 MB/s) - ‘4.jpg’ saved [1078/1078]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 45
        },
        "id": "r5UN2UbW4gDV",
        "outputId": "dc0817d8-4d3c-48d5-dc85-232e36016d68"
      },
      "source": [
        "from PIL import Image\n",
        "Image.open('4.jpg')"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=28x28 at 0x7F6E702EDBE0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1oQ6Hgwk4paM",
        "outputId": "7f5cdd9f-fadc-4259-8cfb-9abc21faab70"
      },
      "source": [
        "img = Image.open('4.jpg').convert('L')\n",
        "\n",
        "import numpy\n",
        "img  = numpy.asarray(img)\n",
        "img.shape"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(28, 28)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XZtBE0tQ40dO",
        "outputId": "4ecb1e0c-b0ea-4cd2-c82f-95d48c851347"
      },
      "source": [
        "img2 = img.reshape((1,28,28,1))\n",
        "img2.shape"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 28, 28, 1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y0CsFXQ945RB"
      },
      "source": [
        "img3 = (255 - img2) / 255"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5Rh7stgL5D2A",
        "outputId": "03b13f07-c9d9-407d-cd5f-748edd20af98"
      },
      "source": [
        "img3.shape"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 28, 28, 1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5zDIPGFz5E6v",
        "outputId": "8db211a5-9590-41c0-8fc7-e87811b12826"
      },
      "source": [
        "import numpy as np\n",
        "np.argmax(model.predict(img3))"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eVax3Y1G_sti"
      },
      "source": [
        "## Human Face Detection"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gDLWnEtfELon"
      },
      "source": [
        "### Image Data Collection"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R3Y0O7Pz5Iwn"
      },
      "source": [
        "def getPicture(path, url):\n",
        "  res = requests.get(url)\n",
        "  with open('{}/{}.jpg'.format(path, url.split('u=')[1].split('&')[0]) , 'wb') as f:\n",
        "    f.write(res.content)"
      ],
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XHqfYqbpBeJd"
      },
      "source": [
        "headers = {\n",
        " 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36',\n",
        "'X-Requested-With': 'XMLHttpRequest'   \n",
        "}\n",
        "baidu_url = 'https://image.baidu.com/search/acjson?tn=resultjson_com&logid=10445197664479484348&ipn=rj&ct=201326592&is=&fp=result&queryWord={}&cl=2&lm=-1&ie=utf-8&oe=utf-8&adpicid=&st=-1&z=&ic=&hd=&latest=&copyright=&word={}&s=&se=&tab=&width=&height=&face=0&istype=2&qc=&nc=1&fr=&expermode=&force=&pn={}&rn=30&gsm=3c&1610093186132='\n",
        "def getIdolImage(path, term, pagenum):\n",
        "  if not os.path.exists(path):\n",
        "    os.mkdir(path)\n",
        "  for p in range(pagenum):\n",
        "    res = requests.get(baidu_url.format(term, term, pagenum * 30), headers = headers)\n",
        "    jd = res.json()\n",
        "    for img in jd['data']:\n",
        "      if img.get('middleURL'):\n",
        "        getPicture(path, img.get('middleURL'))"
      ],
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iYZKfIBuAla_"
      },
      "source": [
        "getIdolImage('eso', '頑童瘦子', 3)"
      ],
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6C14tKvnAsY0"
      },
      "source": [
        "getIdolImage('weber', '潘瑋柏', 3)"
      ],
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jYXkilkJDg8o"
      },
      "source": [
        "getIdolImage('mchotdog', 'mchotdog', 3)"
      ],
      "execution_count": 56,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YKXiJZq_GsWi"
      },
      "source": [
        "getIdolImage('zhiyu', '周子瑜', 3)"
      ],
      "execution_count": 90,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DQwREvQaGw8U"
      },
      "source": [
        "getIdolImage('manny', '江疏影', 3)"
      ],
      "execution_count": 91,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B3lNfbenHkpQ"
      },
      "source": [
        "getIdolImage('pu', '朴信惠', 3)"
      ],
      "execution_count": 92,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TNKjlO-pEqh7"
      },
      "source": [
        "! cat manny/1054"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rXqDAb_AEaxd",
        "outputId": "28c59a29-4152-4d45-dc84-fed520374138"
      },
      "source": [
        "! ls manny/ | grep 1054"
      ],
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1054143727,990760535.jpg\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 782
        },
        "id": "PACmml6nD56O",
        "outputId": "f392447f-98dc-4b11-fe43-aa28c853dfab"
      },
      "source": [
        "from PIL import Image\n",
        "img = Image.open('manny/1054143727,990760535.jpg')\n",
        "img"
      ],
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=500x765 at 0x7F6DD978F630>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4IZfCkebIZCw"
      },
      "source": [
        "## Face Cropping"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-uz4RSnXEdcw",
        "outputId": "4a669a98-0f3e-4a84-9145-28d2559cc2d6"
      },
      "source": [
        "! wget https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_default.xml"
      ],
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-01-08 08:34:18--  https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_default.xml\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 930127 (908K) [text/plain]\n",
            "Saving to: ‘haarcascade_frontalface_default.xml’\n",
            "\n",
            "haarcascade_frontal 100%[===================>] 908.33K  --.-KB/s    in 0.04s   \n",
            "\n",
            "2021-01-08 08:34:18 (21.6 MB/s) - ‘haarcascade_frontalface_default.xml’ saved [930127/930127]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vNJHfXZKIc5h",
        "outputId": "621da6fd-5323-407a-8961-5d03fe0a2eb3"
      },
      "source": [
        "import cv2 as cv\n",
        "im = cv.imread('manny/1054143727,990760535.jpg')\n",
        "im.shape"
      ],
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(765, 500, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gl4J8ZapIkpX",
        "outputId": "009eadb5-a659-4651-fb05-3b4ccc101b6b"
      },
      "source": [
        "face_cascade = cv.CascadeClassifier('haarcascade_frontalface_default.xml')\n",
        "faces = face_cascade.detectMultiScale(im, 1.3, 5)\n",
        "faces"
      ],
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[204, 103,  78,  78]], dtype=int32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JWtutPFTI3SF"
      },
      "source": [
        "x,y,w,h = faces[0]"
      ],
      "execution_count": 99,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "id": "toFccjTCI-sc",
        "outputId": "d7991a6e-8d85-4044-d50b-25ae833bf4b4"
      },
      "source": [
        "box     = (x, y, x+w, y+h)\n",
        "crpim   = img.crop(box).resize((64,64))\n",
        "crpim"
      ],
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=64x64 at 0x7F6DCFF55AC8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zlfNvVePJK5p"
      },
      "source": [
        "import os\n",
        "def cropIdolFace(src, dest):\n",
        "    if not os.path.exists(dest):\n",
        "        os.mkdir(dest)\n",
        "    for filename in os.listdir(src):\n",
        "        img = cv.imread(src + filename)\n",
        "        faces = face_cascade.detectMultiScale(img, 1.3, 5)\n",
        "        if len(faces) == 1:\n",
        "          try:\n",
        "            im      = Image.open(src + filename)\n",
        "            x,y,w,h = faces[0]\n",
        "            box     = (x, y, x+w, y+h)\n",
        "            crpim   = im.crop(box).resize((64,64))\n",
        "            crpim.save(dest + filename)\n",
        "          except:\n",
        "            pass"
      ],
      "execution_count": 101,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C9Hs5uSSJb9g"
      },
      "source": [
        "cropIdolFace('zhiyu/', 'zhiyu_face/')"
      ],
      "execution_count": 102,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tauIo7gbJev-"
      },
      "source": [
        "cropIdolFace('manny/', 'manny_face/')"
      ],
      "execution_count": 103,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SZ4CELRZJhEO"
      },
      "source": [
        "cropIdolFace('pu/', 'pu_face/')"
      ],
      "execution_count": 104,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UHL4ffViKI1s"
      },
      "source": [
        "## Train CNN Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EM7r5l1JKIHK"
      },
      "source": [
        "import tensorflow as tf\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Dense, Conv2D, MaxPooling2D, Flatten,Dropout\n",
        "\n",
        "# Initialising the CNN\n",
        "classifier = Sequential()\n",
        "\n",
        "# Convolution\n",
        "classifier.add(Conv2D(filters=32, \n",
        "           kernel_size=(3, 3),  \n",
        "           padding = 'same',\n",
        "           input_shape = (64, 64, 3),\n",
        "           activation = 'relu'))\n",
        "\n",
        "# Max Pooling\n",
        "classifier.add(MaxPooling2D(pool_size = (2, 2)))\n",
        "\n",
        "# Convolution\n",
        "classifier.add(Conv2D(filters=32, \n",
        "          kernel_size=(3, 3), \n",
        "          padding = 'same', \n",
        "          activation = 'relu'))\n",
        "\n",
        "# Max Pooling\n",
        "classifier.add(MaxPooling2D(pool_size = (2, 2)))\n",
        "\n",
        "# Flattening\n",
        "classifier.add(Flatten())\n",
        "\n",
        "# Fully Connected\n",
        "classifier.add(Dense(units = 1024, activation = 'relu')) \n",
        "classifier.add(Dropout(rate=0.2)) \n",
        "classifier.add(Dense(units = 512, activation = 'relu')) \n",
        "classifier.add(Dropout(rate=0.1)) \n",
        "classifier.add(Dense(units = 256, activation = 'relu')) \n",
        "classifier.add(Dropout(rate=0.1)) \n",
        "classifier.add(Dense(units = 3, activation = 'softmax'))"
      ],
      "execution_count": 125,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BTSUrt6WJj-X",
        "outputId": "9faf4c3b-ccba-47e2-8d96-30e42f225ffe"
      },
      "source": [
        "\n",
        "classifier.summary()"
      ],
      "execution_count": 126,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_9\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "conv2d_12 (Conv2D)           (None, 64, 64, 32)        896       \n",
            "_________________________________________________________________\n",
            "max_pooling2d_12 (MaxPooling (None, 32, 32, 32)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_13 (Conv2D)           (None, 32, 32, 32)        9248      \n",
            "_________________________________________________________________\n",
            "max_pooling2d_13 (MaxPooling (None, 16, 16, 32)        0         \n",
            "_________________________________________________________________\n",
            "flatten_9 (Flatten)          (None, 8192)              0         \n",
            "_________________________________________________________________\n",
            "dense_21 (Dense)             (None, 1024)              8389632   \n",
            "_________________________________________________________________\n",
            "dropout_6 (Dropout)          (None, 1024)              0         \n",
            "_________________________________________________________________\n",
            "dense_22 (Dense)             (None, 512)               524800    \n",
            "_________________________________________________________________\n",
            "dropout_7 (Dropout)          (None, 512)               0         \n",
            "_________________________________________________________________\n",
            "dense_23 (Dense)             (None, 256)               131328    \n",
            "_________________________________________________________________\n",
            "dropout_8 (Dropout)          (None, 256)               0         \n",
            "_________________________________________________________________\n",
            "dense_24 (Dense)             (None, 3)                 771       \n",
            "=================================================================\n",
            "Total params: 9,056,675\n",
            "Trainable params: 9,056,675\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1zJs86gGK9Lt"
      },
      "source": [
        "classifier.compile(optimizer = 'adam', \n",
        "          loss ='categorical_crossentropy', \n",
        "          metrics = ['accuracy'])"
      ],
      "execution_count": 127,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "akrXslF9LhOz"
      },
      "source": [
        "## Data Augmentation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H0TxBuYuLb9Y"
      },
      "source": [
        "train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(\n",
        "           rescale = 1./255,\n",
        "           shear_range = 0.2,     #x坐标保持不变，而对应的y坐标按比例发生平移\n",
        "           zoom_range = 0.2,      #可以让图片在长或宽的方向进行放大\n",
        "           horizontal_flip = True #水平翻转操作\n",
        "         )"
      ],
      "execution_count": 110,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j76JIDmGLyGE"
      },
      "source": [
        "test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale = 1./255)"
      ],
      "execution_count": 111,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "23qhxmPmL0Z0"
      },
      "source": [
        "import os\n",
        "if not os.path.exists('train/'):\n",
        "    os.mkdir('train/')\n",
        "if not os.path.exists('test/'):\n",
        "    os.mkdir('test/')"
      ],
      "execution_count": 112,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iXPpmSB3L31L"
      },
      "source": [
        "import os\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "def splitDataset(dirs):\n",
        "    dataset = list(os.listdir(dirs))\n",
        "    train_data, test_data = train_test_split(dataset, test_size= 0.33, random_state = 42)\n",
        "    \n",
        "    if not os.path.exists('train/'+dirs):\n",
        "        os.mkdir('train/'+dirs)\n",
        "    if not os.path.exists('test/'+dirs):\n",
        "        os.mkdir('test/'+dirs)\n",
        "\n",
        "    for f in train_data:\n",
        "        os.rename(dirs + f, 'train/'+ dirs + f)\n",
        "    for f in test_data:\n",
        "        os.rename(dirs + f, 'test/' + dirs +f)"
      ],
      "execution_count": 113,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h-s9X0-9MHRI"
      },
      "source": [
        "splitDataset('zhiyu_face/')"
      ],
      "execution_count": 114,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "caGpvtlxMMS5"
      },
      "source": [
        "splitDataset('manny_face/')"
      ],
      "execution_count": 115,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BfpP8Y5KMNU4"
      },
      "source": [
        "splitDataset('pu_face/')"
      ],
      "execution_count": 116,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K5citNuPMOWg",
        "outputId": "7f5310cc-cc47-4916-a8e2-78f5608f1cab"
      },
      "source": [
        "training_set = train_datagen.flow_from_directory(\n",
        "    'train/', target_size = (64, 64),\n",
        "     batch_size = 16,\n",
        "     class_mode = 'categorical')"
      ],
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 47 images belonging to 3 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QJH3Nto-MTD3",
        "outputId": "95e23caa-8db3-480d-e07c-b46501430ae6"
      },
      "source": [
        "test_set = test_datagen.flow_from_directory(\n",
        "    'test/', target_size = (64, 64),\n",
        "    batch_size = 16, \n",
        "    class_mode = 'categorical')"
      ],
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 24 images belonging to 3 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d6lfLKgsMWq_"
      },
      "source": [
        "history = classifier.fit_generator(training_set,\n",
        "                  epochs=150,\n",
        "                  verbose = 1,\n",
        "                  validation_data = test_set)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5ZtE7wT7MmeF",
        "outputId": "66368168-61d5-4665-eaad-cf21391171c1"
      },
      "source": [
        "! wget https://hips.hearstapps.com/hmg-prod.s3.amazonaws.com/images/0dc64c5608eb4764a54a85a73371638f-1595814800.jpeg"
      ],
      "execution_count": 131,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-01-08 08:57:48--  https://hips.hearstapps.com/hmg-prod.s3.amazonaws.com/images/0dc64c5608eb4764a54a85a73371638f-1595814800.jpeg\n",
            "Resolving hips.hearstapps.com (hips.hearstapps.com)... 151.101.0.155, 151.101.64.155, 151.101.128.155, ...\n",
            "Connecting to hips.hearstapps.com (hips.hearstapps.com)|151.101.0.155|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 65501 (64K) [image/jpeg]\n",
            "Saving to: ‘0dc64c5608eb4764a54a85a73371638f-1595814800.jpeg’\n",
            "\n",
            "0dc64c5608eb4764a54 100%[===================>]  63.97K  --.-KB/s    in 0.004s  \n",
            "\n",
            "2021-01-08 08:57:49 (16.9 MB/s) - ‘0dc64c5608eb4764a54a85a73371638f-1595814800.jpeg’ saved [65501/65501]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sg62qE91OX65"
      },
      "source": [
        "from PIL import Image\n",
        "img = Image.open('0dc64c5608eb4764a54a85a73371638f-1595814800.jpeg')"
      ],
      "execution_count": 135,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "F49KgiHMNxAT",
        "outputId": "088e4625-59bd-4aa6-d95e-ed98bddf66fd"
      },
      "source": [
        "import cv2 as cv\n",
        "im = cv.imread('0dc64c5608eb4764a54a85a73371638f-1595814800.jpeg')\n",
        "im.shape"
      ],
      "execution_count": 132,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(960, 640, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 132
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rGUWG5N1OIGx",
        "outputId": "e460ac84-ba64-4e8c-9b94-17239e264152"
      },
      "source": [
        "face_cascade = cv.CascadeClassifier('haarcascade_frontalface_default.xml')\n",
        "faces = face_cascade.detectMultiScale(im, 1.3, 5)\n",
        "faces"
      ],
      "execution_count": 133,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[285, 223, 138, 138]], dtype=int32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 133
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "id": "LZMCpSeeOMVO",
        "outputId": "0fc3f844-25a9-483f-c7bc-cba1857050b0"
      },
      "source": [
        "x,y,w,h = faces[0]\n",
        "box     = (x, y, x+w, y+h)\n",
        "crpim   = img.crop(box).resize((64,64))\n",
        "crpim"
      ],
      "execution_count": 136,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=64x64 at 0x7F6E0102C278>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 136
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W0SSpTyoOS4e"
      },
      "source": [
        "crpim.save('predict_face.png')"
      ],
      "execution_count": 137,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HLLkVXAROiJ0",
        "outputId": "a139c33f-1efa-4545-b85d-c578a2597751"
      },
      "source": [
        "import numpy as np\n",
        "from tensorflow.keras.preprocessing import image\n",
        "test_image = image.load_img('predict_face.png', target_size= (64,64))\n",
        "test_image = image.img_to_array(test_image)\n",
        "test_image.shape"
      ],
      "execution_count": 138,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(64, 64, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 138
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zcrqUnwtOl8s",
        "outputId": "8a589542-d5be-4e87-de55-6e88a7bc452f"
      },
      "source": [
        "test_image = np.expand_dims(test_image, axis = 0)\n",
        "test_image.shape"
      ],
      "execution_count": 139,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 64, 64, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 139
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iQyxJkfDOqLz",
        "outputId": "17090a02-a482-432f-e4ab-18af408c9ac7"
      },
      "source": [
        "classifier.predict_classes(test_image)"
      ],
      "execution_count": 140,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/sequential.py:450: UserWarning: `model.predict_classes()` is deprecated and will be removed after 2021-01-01. Please use instead:* `np.argmax(model.predict(x), axis=-1)`,   if your model does multi-class classification   (e.g. if it uses a `softmax` last-layer activation).* `(model.predict(x) > 0.5).astype(\"int32\")`,   if your model does binary classification   (e.g. if it uses a `sigmoid` last-layer activation).\n",
            "  warnings.warn('`model.predict_classes()` is deprecated and '\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 140
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cku6hEC0OssD",
        "outputId": "659bf7b2-f4bd-45b2-af90-a5cfbb9b6bde"
      },
      "source": [
        "training_set.class_indices"
      ],
      "execution_count": 141,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'manny_face': 0, 'pu_face': 1, 'zhiyu_face': 2}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 141
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yGLK64i6RH_Z"
      },
      "source": [
        "## Autoencoder\n",
        "- https://github.com/ywchiu/tibamedl/blob/master/AutoEncoder/Credit%20Card%20Fraud%20Detection.ipynb"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IRRllE1YSyR9"
      },
      "source": [
        "## Car Damage"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SEkbk8LYOwia",
        "outputId": "cf92e15c-50d2-4bc1-c2aa-dff400e5530c"
      },
      "source": [
        "! wget https://raw.githubusercontent.com/ywchiu/fubondl/main/data/archive.zip"
      ],
      "execution_count": 142,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-01-08 09:19:37--  https://raw.githubusercontent.com/ywchiu/fubondl/main/data/archive.zip\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 15120245 (14M) [application/zip]\n",
            "Saving to: ‘archive.zip’\n",
            "\n",
            "archive.zip         100%[===================>]  14.42M  67.4MB/s    in 0.2s    \n",
            "\n",
            "2021-01-08 09:19:38 (67.4 MB/s) - ‘archive.zip’ saved [15120245/15120245]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MoktuvkpS0wx",
        "outputId": "7dfd7717-3229-41c2-bd9e-596ac96460d5"
      },
      "source": [
        "! unzip archive.zip"
      ],
      "execution_count": 143,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  archive.zip\n",
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            "  inflating: train/COCO_mul_train_annos.json  \n",
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            "  inflating: val/1.jpg               \n",
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            "  inflating: val/COCO_mul_val_annos.json  \n",
            "  inflating: val/COCO_val_annos.json  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "04DkmdVlS3AY"
      },
      "source": [
        "from PIL import Image\n",
        "Image.open('train/10.jpg')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "euSCPp8kS9jP",
        "outputId": "bc3039c4-afb5-464b-f8c6-9d98dfda7645"
      },
      "source": [
        "! head train/COCO_mul_train_annos.json"
      ],
      "execution_count": 145,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{\n",
            "    \"annotations\": [\n",
            "        {\n",
            "            \"area\": 695589.9999999999,\n",
            "            \"bbox\": [\n",
            "                3,\n",
            "                3,\n",
            "                879,\n",
            "                677\n",
            "            ],\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rbKaqiwuTECG"
      },
      "source": [
        "import json\n",
        "with open('train/COCO_mul_train_annos.json', 'r') as f:\n",
        "  jd = json.loads(f.read())"
      ],
      "execution_count": 148,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DDDy5yvxTPll",
        "outputId": "250620d8-22f5-4f8f-a6c9-3611d1c3c1fc"
      },
      "source": [
        "jd.keys()"
      ],
      "execution_count": 150,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict_keys(['annotations', 'categories', 'images', 'info', 'licenses'])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 150
        }
      ]
    }
  ]
}