v9_Age_classification.ipynb

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  "metadata": {
    "colab": {
      "name": "v9_Age_classification.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NNylsgsF7sh4",
        "colab_type": "text"
      },
      "source": [
        "**Importing Essential Libraries**\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LGLgP-4B2xk1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%matplotlib inline\n",
        "\n",
        "import matplotlib\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import os\n",
        "import zipfile\n",
        "import cv2\n",
        "import tensorflow as tf\n",
        "import pickle\n",
        "\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Conv2D, MaxPool2D ,AveragePooling2D, Flatten, Dropout\n",
        "from keras.layers.core import Dense\n",
        "from keras.optimizers import RMSprop,Adam,SGD\n",
        "from keras.layers.normalization import BatchNormalization\n",
        "from keras.layers.core import Activation\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "from keras.models import model_from_json\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import LabelBinarizer\n",
        "from sklearn.metrics import classification_report\n",
        "from sklearn.metrics import confusion_matrix\n",
        "\n",
        "sns.set()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L7t6MW6266IT",
        "colab_type": "text"
      },
      "source": [
        "**Unzipping the Train and Test sets**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jLy_moUs5qdO",
        "colab_type": "code",
        "outputId": "853445d3-1859-4b39-9533-13a076186734",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "os.getcwd()"
      ],
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MXLkoPXU5yD6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "handle_train=zipfile.ZipFile(r'/content/Train.zip')\n",
        "handle_train.extractall('/content/train')\n",
        "handle_train.close()\n",
        "handle_test=zipfile.ZipFile(r'/content/Test.zip')\n",
        "handle_test.extractall('/content/test')\n",
        "handle_test.close()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qxjrbYfU54HA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "train_images=os.listdir('/content/train/Train/')\n",
        "test_images = os.listdir('/content/test/Test')\n",
        "\n",
        "filepath_train = '/content/train/Train/'\n",
        "filepath_test = '/content/test/Test/' "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U_8LmO0U69qf",
        "colab_type": "code",
        "outputId": "aca1bed8-188f-4f5b-9420-1dac3df21f13",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "source": [
        "df_train = pd.read_csv('/content/train.csv')\n",
        "df_train.head(10)"
      ],
      "execution_count": 73,
      "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",
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              "\n",
              "    .dataframe thead th {\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>377.jpg</td>\n",
              "      <td>MIDDLE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>17814.jpg</td>\n",
              "      <td>YOUNG</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>21283.jpg</td>\n",
              "      <td>MIDDLE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>16496.jpg</td>\n",
              "      <td>YOUNG</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4487.jpg</td>\n",
              "      <td>MIDDLE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6283.jpg</td>\n",
              "      <td>MIDDLE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>23495.jpg</td>\n",
              "      <td>YOUNG</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>7100.jpg</td>\n",
              "      <td>YOUNG</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>6028.jpg</td>\n",
              "      <td>YOUNG</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>22617.jpg</td>\n",
              "      <td>OLD</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          ID   Class\n",
              "0    377.jpg  MIDDLE\n",
              "1  17814.jpg   YOUNG\n",
              "2  21283.jpg  MIDDLE\n",
              "3  16496.jpg   YOUNG\n",
              "4   4487.jpg  MIDDLE\n",
              "5   6283.jpg  MIDDLE\n",
              "6  23495.jpg   YOUNG\n",
              "7   7100.jpg   YOUNG\n",
              "8   6028.jpg   YOUNG\n",
              "9  22617.jpg     OLD"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7ACwwtVNPvtH",
        "colab_type": "code",
        "outputId": "85a2cb92-44ef-4c68-e4ce-c13b449f4c93",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "sample_submn = pd.read_csv('/content/sample_submission_sDO3m7O.csv')\n",
        "sample_submn.head()"
      ],
      "execution_count": 74,
      "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>Class</th>\n",
              "      <th>ID</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>25321.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>989.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>19277.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>13093.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>5367.jpg</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Class         ID\n",
              "0  MIDDLE  25321.jpg\n",
              "1  MIDDLE    989.jpg\n",
              "2  MIDDLE  19277.jpg\n",
              "3  MIDDLE  13093.jpg\n",
              "4  MIDDLE   5367.jpg"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jvhi0rCX787K",
        "colab_type": "text"
      },
      "source": [
        "**Reading & Resizing Training and Testing images**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hvXb3AUj6z8v",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "images=[]\n",
        "labels=[]\n",
        "\n",
        "for index, row in df_train.iterrows():\n",
        "  image=cv2.imread(filepath_train+row['ID'])\n",
        "  image=cv2.resize(image , (64,64))\n",
        "  images.append(image)\n",
        "  labels.append(row['Class'])\n",
        "  #print(row['ID'])\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w7qzyfofasc8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "images_test=[]\n",
        "outputs=[]\n",
        "\n",
        "for index,row in sample_submn.iterrows():\n",
        "  image=cv2.imread(filepath_test+row['ID'])\n",
        "  image=cv2.resize(image , (64,64))\n",
        "  images_test.append(image) \n",
        "  outputs.append(image)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EM0u7h-m8WcA",
        "colab_type": "text"
      },
      "source": [
        "**Displaying couple of images for Sanity check**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3nNeWGPA9qYy",
        "colab_type": "code",
        "outputId": "b94e2c7b-5704-418e-c965-fa0d44dccd95",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images[0])"
      ],
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe632589358>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 77
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6XlF5Vaf9vvO",
        "colab_type": "code",
        "outputId": "460152cc-3b7d-49a7-9c9b-7fb492959395",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images[1])"
      ],
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe632553f60>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 78
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tGkInGn9962-",
        "colab_type": "code",
        "outputId": "51c78985-c1c4-4ec2-8127-a822aea3e372",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "df_train.tail()"
      ],
      "execution_count": 79,
      "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>ID</th>\n",
              "      <th>Class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>19901</th>\n",
              "      <td>2482.jpg</td>\n",
              "      <td>MIDDLE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19902</th>\n",
              "      <td>20085.jpg</td>\n",
              "      <td>YOUNG</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19903</th>\n",
              "      <td>19663.jpg</td>\n",
              "      <td>MIDDLE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19904</th>\n",
              "      <td>10132.jpg</td>\n",
              "      <td>MIDDLE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19905</th>\n",
              "      <td>9896.jpg</td>\n",
              "      <td>MIDDLE</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              ID   Class\n",
              "19901   2482.jpg  MIDDLE\n",
              "19902  20085.jpg   YOUNG\n",
              "19903  19663.jpg  MIDDLE\n",
              "19904  10132.jpg  MIDDLE\n",
              "19905   9896.jpg  MIDDLE"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BiM2sVLT-K75",
        "colab_type": "code",
        "outputId": "7a092e57-542d-4cce-e59a-3131af350bf6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images[-1])"
      ],
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe63252bcc0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FCrGMzPv-bOJ",
        "colab_type": "code",
        "outputId": "4127b22d-5ea0-420a-adf9-18144317b6f7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images[19905])"
      ],
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe63248b8d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 81
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6BRRnHz4-1J4",
        "colab_type": "code",
        "outputId": "348e92de-8e2b-48e4-f039-bd75ec12dd46",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images[19904])"
      ],
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe632468518>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bRqE0e5CdXSt",
        "colab_type": "code",
        "outputId": "70df210d-e034-44c9-a013-9eb8b1951344",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images_test[0])"
      ],
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe632448160>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e77g6GHJdbwa",
        "colab_type": "code",
        "outputId": "ee2f405e-5ca7-48d5-aebe-236856bcbaed",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images_test[-1])"
      ],
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe63239ada0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DFo5UYq3R5gH",
        "colab_type": "code",
        "outputId": "8a24a65a-33de-4f3e-d645-7c2c6341b308",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(outputs[0])"
      ],
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe6323769b0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 85
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vXE3Fa6h8hD4",
        "colab_type": "text"
      },
      "source": [
        "Converting into an n-d array and normalizing the image pixels"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zf-XfMvD-4A6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "images = np.array(images, dtype=\"float\") / 255.0\n",
        "images_test = np.array(images_test, dtype=\"float\") / 255.0\n",
        "labels = np.array(labels)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bjzeYxOldgpH",
        "colab_type": "code",
        "outputId": "fbec2d8e-16c6-4888-dc05-d93960be501b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images[0])"
      ],
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe6325d4630>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZTP0_1C1eBmY",
        "colab_type": "code",
        "outputId": "8476eb19-f908-4ebe-8cf5-e8a0d4aa1dd5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images_test[0])"
      ],
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe632725278>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 88
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9nWiIPpi82Bd",
        "colab_type": "text"
      },
      "source": [
        "**Splitting into train and test set for training**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YuOAXfJT_KRY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "(trainX, testX, trainY, testY) = train_test_split(images,labels, test_size=0.20, random_state=42)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4GbOd2DW_P7L",
        "colab_type": "code",
        "outputId": "fb112aad-587b-4a0e-cc9f-dec8f2187ad5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "print(type(trainX))\n",
        "print(trainX.shape)\n",
        "print(type(trainY))\n",
        "print(trainY.shape)\n",
        "print(type(testX))\n",
        "print(testX.shape)\n",
        "print(type(testY))\n",
        "print(testY.shape)"
      ],
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'numpy.ndarray'>\n",
            "(15924, 64, 64, 3)\n",
            "<class 'numpy.ndarray'>\n",
            "(15924,)\n",
            "<class 'numpy.ndarray'>\n",
            "(3982, 64, 64, 3)\n",
            "<class 'numpy.ndarray'>\n",
            "(3982,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1wDvTmjW8-zK",
        "colab_type": "text"
      },
      "source": [
        "Binarizing the output categories "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5dOPPpO6_SC8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "lb = LabelBinarizer()\n",
        "trainY = lb.fit_transform(trainY)\n",
        "testY = lb.transform(testY)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "By4suEdA_WsG",
        "colab_type": "code",
        "outputId": "33099361-fcaa-4d4d-f78a-e0b27356642c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "lb.classes_"
      ],
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['MIDDLE', 'OLD', 'YOUNG'], dtype='<U6')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e2H6sjsT9HtI",
        "colab_type": "text"
      },
      "source": [
        "**Model Implementation**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PYzJ8mGa_WuT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model = Sequential()\n",
        "\n",
        "model.add(Conv2D(filters = 32, kernel_size = (3,3),padding = \"same\", activation ='relu', input_shape = (64,64,3)))\n",
        "model.add(BatchNormalization(axis=-1))\n",
        "model.add(MaxPool2D(pool_size=(2,2)))\n",
        "model.add(Dropout(0.25))\n",
        "\n",
        "model.add(Conv2D(filters=64,kernel_size=(3,3), padding=\"same\",activation=\"relu\"))\n",
        "model.add(BatchNormalization(axis=-1))\n",
        "model.add(Conv2D(filters=64, kernel_size=(3,3), padding=\"same\",activation=\"relu\"))\n",
        "model.add(BatchNormalization(axis=-1))\n",
        "model.add(MaxPool2D(pool_size=(2,2)))\n",
        "model.add(Dropout(0.25))\n",
        "\n",
        "model.add(Conv2D(filters=128, kernel_size=(3, 3), padding=\"same\",activation=\"relu\"))\n",
        "model.add(BatchNormalization(axis=-1))\n",
        "model.add(Conv2D(filters=128, kernel_size=(3, 3), padding=\"same\",activation=\"relu\"))\n",
        "model.add(BatchNormalization(axis=-1))\n",
        "model.add(Conv2D(filters=128, kernel_size=(3, 3), padding=\"same\",activation=\"relu\"))\n",
        "model.add(BatchNormalization(axis=-1))\n",
        "model.add(MaxPool2D(pool_size=(2, 2)))\n",
        "model.add(Dropout(0.25))\n",
        "\n",
        "\n",
        "model.add(Flatten())\n",
        "model.add(Dense(512, activation=\"relu\"))\n",
        "model.add(BatchNormalization())\n",
        "model.add(Dropout(0.5))\n",
        "\n",
        "# softmax classifier\n",
        "model.add(Dense(3,activation=\"softmax\"))\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q_jgn9Lq_Ww5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "INIT_LR = 0.01\n",
        "EPOCHS = 75\n",
        "BS = 32\n",
        "\n",
        "opt=SGD(lr=INIT_LR)\n",
        "\n",
        "model.compile(loss=\"categorical_crossentropy\", optimizer=opt,\tmetrics=[\"accuracy\"])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "s21wykgZ9Va0",
        "colab_type": "text"
      },
      "source": [
        "**Image Data Augmentation**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k1rOMYpdhKom",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "aug = ImageDataGenerator(rotation_range=10, width_shift_range=0.1, height_shift_range=0.1, shear_range=0.2, zoom_range=0.1,horizontal_flip=True, fill_mode=\"nearest\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bx26wKMw9Uxx",
        "colab_type": "text"
      },
      "source": [
        "**Fitting the model onto the training set**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6QQqkrgp_hkf",
        "colab_type": "code",
        "outputId": "8adb7b30-aec7-461e-9c86-12c59af284fb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "H = model.fit_generator(aug.flow(trainX, trainY, batch_size=BS),validation_data=(testX, testY), steps_per_epoch=len(trainX) // BS,epochs=EPOCHS)"
      ],
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/75\n",
            "497/497 [==============================] - 22s 43ms/step - loss: 1.1064 - accuracy: 0.5341 - val_loss: 0.8613 - val_accuracy: 0.6381\n",
            "Epoch 2/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.8414 - accuracy: 0.6275 - val_loss: 0.8046 - val_accuracy: 0.6389\n",
            "Epoch 3/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.7987 - accuracy: 0.6411 - val_loss: 0.7624 - val_accuracy: 0.6680\n",
            "Epoch 4/75\n",
            "497/497 [==============================] - 21s 43ms/step - loss: 0.7861 - accuracy: 0.6482 - val_loss: 0.7275 - val_accuracy: 0.6944\n",
            "Epoch 5/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.7646 - accuracy: 0.6591 - val_loss: 0.7794 - val_accuracy: 0.6580\n",
            "Epoch 6/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.7506 - accuracy: 0.6690 - val_loss: 0.7149 - val_accuracy: 0.6909\n",
            "Epoch 7/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.7390 - accuracy: 0.6760 - val_loss: 0.6987 - val_accuracy: 0.6919\n",
            "Epoch 8/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.7242 - accuracy: 0.6827 - val_loss: 0.6851 - val_accuracy: 0.7004\n",
            "Epoch 9/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.7113 - accuracy: 0.6888 - val_loss: 0.7551 - val_accuracy: 0.6823\n",
            "Epoch 10/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.7040 - accuracy: 0.6958 - val_loss: 0.6433 - val_accuracy: 0.7328\n",
            "Epoch 11/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.6932 - accuracy: 0.6993 - val_loss: 0.7371 - val_accuracy: 0.6873\n",
            "Epoch 12/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.6810 - accuracy: 0.7080 - val_loss: 0.6734 - val_accuracy: 0.7228\n",
            "Epoch 13/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.6721 - accuracy: 0.7096 - val_loss: 0.6229 - val_accuracy: 0.7471\n",
            "Epoch 14/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.6645 - accuracy: 0.7119 - val_loss: 0.6578 - val_accuracy: 0.7238\n",
            "Epoch 15/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.6480 - accuracy: 0.7246 - val_loss: 0.6157 - val_accuracy: 0.7451\n",
            "Epoch 16/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.6442 - accuracy: 0.7274 - val_loss: 0.7506 - val_accuracy: 0.6991\n",
            "Epoch 17/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.6371 - accuracy: 0.7287 - val_loss: 0.5900 - val_accuracy: 0.7539\n",
            "Epoch 18/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.6291 - accuracy: 0.7320 - val_loss: 0.5606 - val_accuracy: 0.7725\n",
            "Epoch 19/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.6202 - accuracy: 0.7382 - val_loss: 0.5710 - val_accuracy: 0.7599\n",
            "Epoch 20/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.6122 - accuracy: 0.7376 - val_loss: 0.5561 - val_accuracy: 0.7687\n",
            "Epoch 21/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.6090 - accuracy: 0.7436 - val_loss: 0.5556 - val_accuracy: 0.7735\n",
            "Epoch 22/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.6023 - accuracy: 0.7467 - val_loss: 0.5578 - val_accuracy: 0.7745\n",
            "Epoch 23/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.5956 - accuracy: 0.7489 - val_loss: 0.5926 - val_accuracy: 0.7582\n",
            "Epoch 24/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5896 - accuracy: 0.7484 - val_loss: 0.5769 - val_accuracy: 0.7582\n",
            "Epoch 25/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.5841 - accuracy: 0.7522 - val_loss: 0.5643 - val_accuracy: 0.7680\n",
            "Epoch 26/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5816 - accuracy: 0.7565 - val_loss: 0.5239 - val_accuracy: 0.7880\n",
            "Epoch 27/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5663 - accuracy: 0.7618 - val_loss: 0.5197 - val_accuracy: 0.7833\n",
            "Epoch 28/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5618 - accuracy: 0.7637 - val_loss: 0.5506 - val_accuracy: 0.7717\n",
            "Epoch 29/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5618 - accuracy: 0.7651 - val_loss: 0.5217 - val_accuracy: 0.7858\n",
            "Epoch 30/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5497 - accuracy: 0.7728 - val_loss: 0.5438 - val_accuracy: 0.7790\n",
            "Epoch 31/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5456 - accuracy: 0.7704 - val_loss: 0.5530 - val_accuracy: 0.7828\n",
            "Epoch 32/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5488 - accuracy: 0.7700 - val_loss: 0.5014 - val_accuracy: 0.7993\n",
            "Epoch 33/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5370 - accuracy: 0.7755 - val_loss: 0.4863 - val_accuracy: 0.8024\n",
            "Epoch 34/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5286 - accuracy: 0.7761 - val_loss: 0.4752 - val_accuracy: 0.8086\n",
            "Epoch 35/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.5281 - accuracy: 0.7789 - val_loss: 0.4634 - val_accuracy: 0.8129\n",
            "Epoch 36/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5268 - accuracy: 0.7834 - val_loss: 0.4483 - val_accuracy: 0.8207\n",
            "Epoch 37/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5215 - accuracy: 0.7830 - val_loss: 0.5527 - val_accuracy: 0.7752\n",
            "Epoch 38/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5181 - accuracy: 0.7864 - val_loss: 0.6445 - val_accuracy: 0.7330\n",
            "Epoch 39/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.5127 - accuracy: 0.7869 - val_loss: 0.4729 - val_accuracy: 0.8084\n",
            "Epoch 40/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5102 - accuracy: 0.7875 - val_loss: 0.5278 - val_accuracy: 0.7772\n",
            "Epoch 41/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5039 - accuracy: 0.7925 - val_loss: 0.4460 - val_accuracy: 0.8122\n",
            "Epoch 42/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4976 - accuracy: 0.7973 - val_loss: 0.4637 - val_accuracy: 0.8157\n",
            "Epoch 43/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.5016 - accuracy: 0.7917 - val_loss: 0.4410 - val_accuracy: 0.8270\n",
            "Epoch 44/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4956 - accuracy: 0.7955 - val_loss: 0.4675 - val_accuracy: 0.8119\n",
            "Epoch 45/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4977 - accuracy: 0.7976 - val_loss: 0.4929 - val_accuracy: 0.7941\n",
            "Epoch 46/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4825 - accuracy: 0.8022 - val_loss: 0.5145 - val_accuracy: 0.7948\n",
            "Epoch 47/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4756 - accuracy: 0.8036 - val_loss: 0.4312 - val_accuracy: 0.8272\n",
            "Epoch 48/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4767 - accuracy: 0.8064 - val_loss: 0.4330 - val_accuracy: 0.8275\n",
            "Epoch 49/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4703 - accuracy: 0.8090 - val_loss: 0.4583 - val_accuracy: 0.8129\n",
            "Epoch 50/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.4786 - accuracy: 0.8026 - val_loss: 0.5215 - val_accuracy: 0.7956\n",
            "Epoch 51/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.4663 - accuracy: 0.8066 - val_loss: 0.4370 - val_accuracy: 0.8227\n",
            "Epoch 52/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4549 - accuracy: 0.8122 - val_loss: 0.4179 - val_accuracy: 0.8250\n",
            "Epoch 53/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4540 - accuracy: 0.8117 - val_loss: 0.4387 - val_accuracy: 0.8230\n",
            "Epoch 54/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.4450 - accuracy: 0.8192 - val_loss: 0.4208 - val_accuracy: 0.8325\n",
            "Epoch 55/75\n",
            "497/497 [==============================] - 20s 41ms/step - loss: 0.4456 - accuracy: 0.8163 - val_loss: 0.4819 - val_accuracy: 0.7998\n",
            "Epoch 56/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4500 - accuracy: 0.8167 - val_loss: 0.4398 - val_accuracy: 0.8262\n",
            "Epoch 57/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4355 - accuracy: 0.8250 - val_loss: 0.4425 - val_accuracy: 0.8214\n",
            "Epoch 58/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4358 - accuracy: 0.8236 - val_loss: 0.4472 - val_accuracy: 0.8179\n",
            "Epoch 59/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4333 - accuracy: 0.8245 - val_loss: 0.4762 - val_accuracy: 0.8137\n",
            "Epoch 60/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4342 - accuracy: 0.8205 - val_loss: 0.4675 - val_accuracy: 0.7988\n",
            "Epoch 61/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4303 - accuracy: 0.8215 - val_loss: 0.4087 - val_accuracy: 0.8383\n",
            "Epoch 62/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4403 - accuracy: 0.8231 - val_loss: 0.4305 - val_accuracy: 0.8237\n",
            "Epoch 63/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4221 - accuracy: 0.8298 - val_loss: 0.4112 - val_accuracy: 0.8310\n",
            "Epoch 64/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4273 - accuracy: 0.8257 - val_loss: 0.5320 - val_accuracy: 0.7936\n",
            "Epoch 65/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4158 - accuracy: 0.8296 - val_loss: 0.4116 - val_accuracy: 0.8353\n",
            "Epoch 66/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4189 - accuracy: 0.8304 - val_loss: 0.4562 - val_accuracy: 0.8179\n",
            "Epoch 67/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4126 - accuracy: 0.8289 - val_loss: 0.4223 - val_accuracy: 0.8295\n",
            "Epoch 68/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4107 - accuracy: 0.8317 - val_loss: 0.3937 - val_accuracy: 0.8400\n",
            "Epoch 69/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.3977 - accuracy: 0.8388 - val_loss: 0.4061 - val_accuracy: 0.8363\n",
            "Epoch 70/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4043 - accuracy: 0.8358 - val_loss: 0.3892 - val_accuracy: 0.8451\n",
            "Epoch 71/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4002 - accuracy: 0.8374 - val_loss: 0.5219 - val_accuracy: 0.7898\n",
            "Epoch 72/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.3881 - accuracy: 0.8441 - val_loss: 0.4781 - val_accuracy: 0.8202\n",
            "Epoch 73/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.4011 - accuracy: 0.8388 - val_loss: 0.3850 - val_accuracy: 0.8468\n",
            "Epoch 74/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.3918 - accuracy: 0.8412 - val_loss: 0.4203 - val_accuracy: 0.8302\n",
            "Epoch 75/75\n",
            "497/497 [==============================] - 20s 40ms/step - loss: 0.3864 - accuracy: 0.8434 - val_loss: 0.3927 - val_accuracy: 0.8491\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mnPPzEwb_kQ4",
        "colab_type": "code",
        "outputId": "e761c89b-a6c3-4b54-cf9d-156dea9691fa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 187
        }
      },
      "source": [
        "predictions = model.predict(testX, batch_size=BS)\n",
        "print(classification_report(testY.argmax(axis=1),predictions.argmax(axis=1), target_names=lb.classes_))"
      ],
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "      MIDDLE       0.87      0.88      0.87      2181\n",
            "         OLD       0.73      0.74      0.73       471\n",
            "       YOUNG       0.86      0.84      0.85      1330\n",
            "\n",
            "    accuracy                           0.85      3982\n",
            "   macro avg       0.82      0.82      0.82      3982\n",
            "weighted avg       0.85      0.85      0.85      3982\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0Zg5pYHH9iH6",
        "colab_type": "text"
      },
      "source": [
        "**Loss-Accuracy Tradeoff graph**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i6L4Hg39Artq",
        "colab_type": "code",
        "outputId": "c41a06e5-ea83-4f58-a502-1079df187c2e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 628
        }
      },
      "source": [
        "# plot the training loss and accuracy\n",
        "N = np.arange(0, EPOCHS)\n",
        "plt.style.use(\"ggplot\")\n",
        "plt.figure(figsize=(15,10))\n",
        "plt.plot(N, H.history[\"loss\"], label=\"train_loss\")\n",
        "plt.plot(N, H.history[\"val_loss\"], label=\"val_loss\")\n",
        "plt.plot(N, H.history[\"accuracy\"], label=\"train_acc\")\n",
        "plt.plot(N, H.history[\"val_accuracy\"], label=\"val_acc\")\n",
        "plt.title(\"Training Loss and Accuracy (CNN for age classification)\")\n",
        "plt.xlabel(\"Epoch #\")\n",
        "plt.ylabel(\"Loss/Accuracy\")\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B84MWXcC9sgA",
        "colab_type": "text"
      },
      "source": [
        "**Predicting for test set values**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r4HB9KsyVpCS",
        "colab_type": "code",
        "outputId": "004093dc-e2b7-48a1-c423-d6add3580918",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "pred = model.predict(images_test)\n",
        "pred"
      ],
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.9067224 , 0.06145563, 0.03182193],\n",
              "       [0.00102918, 0.00106124, 0.9979096 ],\n",
              "       [0.18102194, 0.09121199, 0.72776604],\n",
              "       ...,\n",
              "       [0.7154707 , 0.27958128, 0.00494804],\n",
              "       [0.97984457, 0.01856582, 0.00158964],\n",
              "       [0.00902562, 0.00618309, 0.98479134]], dtype=float32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vNjvJXxtWqhN",
        "colab_type": "code",
        "outputId": "82915f6e-658a-4151-c950-68f497e21b0b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "i = pred.argmax(axis=1)\n",
        "i"
      ],
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 2, 2, ..., 0, 0, 2])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9hmgiZl4Wwmz",
        "colab_type": "code",
        "outputId": "028ed826-2549-4e98-da28-60774ef4f7c6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Going for second test example \n",
        "i1 = pred.argmax(axis=1)[1]\n",
        "i1"
      ],
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 101
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dDDCiq0FWHm_",
        "colab_type": "code",
        "outputId": "4e2e6e6f-1908-4c3a-e9f1-af71b3b14580",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images_test[1])"
      ],
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe5be2119e8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 102
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lVOni6ruXDs3",
        "colab_type": "code",
        "outputId": "78908df6-1414-4139-86bb-3cb0635cfcb9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "vals = np.amax(pred, axis=1)\n",
        "vals"
      ],
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.9067224 , 0.9979096 , 0.72776604, ..., 0.7154707 , 0.97984457,\n",
              "       0.98479134], dtype=float32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 103
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AO3o3aFjYE86",
        "colab_type": "code",
        "outputId": "46a27a67-3373-42c8-ac2f-7abcb8d10529",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#going for second test example\n",
        "val1 = vals[1]\n",
        "val1"
      ],
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9979096"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W4RhXNiKYP9G",
        "colab_type": "code",
        "outputId": "850e5528-0f63-431f-a0f3-a106cf378c8e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#second test example\n",
        "perc_val1 = val1*100\n",
        "perc_val1 = perc_val1.round(2)\n",
        "perc_val1"
      ],
      "execution_count": 105,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "99.79"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jnEBlhPyYckI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from google.colab.patches import cv2_imshow"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mCdxW0CfYiBx",
        "colab_type": "code",
        "outputId": "3d503604-7e4c-42d0-f51b-dac578cca0fa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "label1 = lb.classes_[i1]\n",
        "label1"
      ],
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'YOUNG'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 107
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2sc0ifCs90mT",
        "colab_type": "text"
      },
      "source": [
        "**Displaying final image again after classification**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CtfHbSd8Y04l",
        "colab_type": "code",
        "outputId": "9cbe9876-0cf8-4851-86d5-5595b5aa73ac",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        }
      },
      "source": [
        "text = label1+\": \"+str(perc_val1)\n",
        "#text='.'\n",
        "\n",
        "outputs[1] = cv2.resize(outputs[1] , (300,300))\n",
        "cv2.putText(outputs[1], text , (10,50),  cv2.FONT_HERSHEY_SIMPLEX, 0.7 ,(0, 255, 0), 2)\n",
        "\n",
        "# show the output image\n",
        "\n",
        "cv2_imshow(outputs[1])\n",
        "cv2.waitKey(0)"
      ],
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=300x300 at 0x7FE5BE2233C8>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_QAs529mY5dS",
        "colab_type": "code",
        "outputId": "12c1f838-c130-4833-c9b8-8e64bc05ecff",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images_test[1])"
      ],
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe5be1f09b0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_8vrrBtbZJTH",
        "colab_type": "code",
        "outputId": "c9d4dfbc-9551-46d0-c3b6-454e672163e0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "output_labels = lb.classes_[i]\n",
        "output_labels"
      ],
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['MIDDLE', 'YOUNG', 'YOUNG', ..., 'MIDDLE', 'MIDDLE', 'YOUNG'],\n",
              "      dtype='<U6')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LZjytih_YiWL",
        "colab_type": "code",
        "outputId": "9d3ce28a-2ff1-420e-b6ef-bef7746a9822",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        }
      },
      "source": [
        "submission = pd.DataFrame({'Class':output_labels,'ID':sample_submn['ID']})\n",
        "submission"
      ],
      "execution_count": 111,
      "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>Class</th>\n",
              "      <th>ID</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>25321.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>YOUNG</td>\n",
              "      <td>989.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>YOUNG</td>\n",
              "      <td>19277.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>13093.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>OLD</td>\n",
              "      <td>5367.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6631</th>\n",
              "      <td>OLD</td>\n",
              "      <td>1876.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6632</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>14940.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6633</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>3638.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6634</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>376.jpg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6635</th>\n",
              "      <td>YOUNG</td>\n",
              "      <td>9357.jpg</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>6636 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       Class         ID\n",
              "0     MIDDLE  25321.jpg\n",
              "1      YOUNG    989.jpg\n",
              "2      YOUNG  19277.jpg\n",
              "3     MIDDLE  13093.jpg\n",
              "4        OLD   5367.jpg\n",
              "...      ...        ...\n",
              "6631     OLD   1876.jpg\n",
              "6632  MIDDLE  14940.jpg\n",
              "6633  MIDDLE   3638.jpg\n",
              "6634  MIDDLE    376.jpg\n",
              "6635   YOUNG   9357.jpg\n",
              "\n",
              "[6636 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lpd4l-aaY29c",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#submission.to_csv('submission3_age_classif.csv',index=False)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1AbsyP9bZNP8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#from google.colab import files\n",
        "#files.download(\"submission3_age_classif.csv\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tuL3o2qTZRfH",
        "colab_type": "code",
        "outputId": "caaee297-2c55-41b1-dd3a-c327f970c207",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Going for fourth test example \n",
        "i3 = pred.argmax(axis=1)[3]\n",
        "i3"
      ],
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 114
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3MUk-NFSXAdT",
        "colab_type": "code",
        "outputId": "62673e13-ffbf-4caa-8b83-83ebe28d4645",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images_test[3])"
      ],
      "execution_count": 115,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe5be129b70>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 115
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sZ7zZOR9XFDs",
        "colab_type": "code",
        "outputId": "fca1ace2-e8b5-4494-f473-ae56861eabef",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "val3 = vals[3]\n",
        "val3"
      ],
      "execution_count": 116,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.99014485"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 116
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RC8uLz39XMLh",
        "colab_type": "code",
        "outputId": "e723b155-2608-4682-8d33-78490ab53fc3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#second test example\n",
        "perc_val3 = val3*100\n",
        "perc_val3 = perc_val3.round(2)\n",
        "perc_val3"
      ],
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "99.01"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 117
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "48-QPkS8XVSw",
        "colab_type": "code",
        "outputId": "808e9e22-e3b0-4196-b7fd-4411eb723063",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "label3 = lb.classes_[i3]\n",
        "label3"
      ],
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'MIDDLE'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 118
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gPEoCiqtXlh8",
        "colab_type": "code",
        "outputId": "2686a06b-5f22-4120-e9cf-dafab2039e31",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        }
      },
      "source": [
        "text = label3+\": \"+str(perc_val3)\n",
        "#text='.'\n",
        "\n",
        "outputs[3] = cv2.resize(outputs[3] , (300,300))\n",
        "cv2.putText(outputs[3], text , (10,50),  cv2.FONT_HERSHEY_SIMPLEX, 0.7 ,(0, 255, 0), 2)\n",
        "\n",
        "# show the output image\n",
        "\n",
        "cv2_imshow(outputs[3])\n",
        "cv2.waitKey(0)"
      ],
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=300x300 at 0x7FE5BE0CC5F8>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rn9fKoxvX3Hm",
        "colab_type": "code",
        "outputId": "b1e6002c-02de-4c38-c092-b3bb488eb892",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images[1])"
      ],
      "execution_count": 120,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe5be087a58>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 120
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oz8sB5LIYwF5",
        "colab_type": "code",
        "outputId": "5290ca65-35a9-40bc-bec6-744814de3bbf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Going for 6634 test example \n",
        "i6631 = pred.argmax(axis=1)[6631]\n",
        "i6631"
      ],
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 121
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IAbat94UZYIo",
        "colab_type": "code",
        "outputId": "c10b9fc3-a3b3-47d2-aff4-9f80fecc4ebf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images_test[6631])"
      ],
      "execution_count": 122,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe5be064780>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 122
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-w98ab55ZdDv",
        "colab_type": "code",
        "outputId": "90d62809-853d-43dc-d557-f04d3bd3d96a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "val6631 = vals[6631]\n",
        "val6631"
      ],
      "execution_count": 123,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.72616833"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 123
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q90dNdvTZjau",
        "colab_type": "code",
        "outputId": "5ff82ee2-dc83-45d5-d8c9-45b27ae12a04",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#second test example\n",
        "perc_val6631 = val6631*100\n",
        "perc_val6631 = perc_val6631.round(2)\n",
        "perc_val6631"
      ],
      "execution_count": 124,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "72.62"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 124
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1idzYC82Zr1M",
        "colab_type": "code",
        "outputId": "9abb33b3-d5e6-40cc-9087-42788f1b73a7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "label6631 = lb.classes_[i6631]\n",
        "label6631"
      ],
      "execution_count": 125,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'OLD'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 125
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6mgSlPQZZxkm",
        "colab_type": "code",
        "outputId": "2f9b57d1-6bb0-4821-d154-a44d329c29ea",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        }
      },
      "source": [
        "text = label6631+\": \"+str(perc_val6631)\n",
        "#text='.'\n",
        "\n",
        "outputs[6631] = cv2.resize(outputs[6631] , (300,300))\n",
        "cv2.putText(outputs[6631], text , (10,50),  cv2.FONT_HERSHEY_SIMPLEX, 0.7 ,(0, 255, 0), 2)\n",
        "\n",
        "# show the output image\n",
        "\n",
        "cv2_imshow(outputs[6631])\n",
        "cv2.waitKey(0)"
      ],
      "execution_count": 126,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=300x300 at 0x7FE5B9FCF9E8>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 126
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eRqY431nZ9SB",
        "colab_type": "code",
        "outputId": "6fc29186-755d-4d92-a14f-3687f41ff1f1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "source": [
        "sample_submn[sample_submn['ID'] == '2456.jpg']"
      ],
      "execution_count": 127,
      "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>Class</th>\n",
              "      <th>ID</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3533</th>\n",
              "      <td>MIDDLE</td>\n",
              "      <td>2456.jpg</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Class        ID\n",
              "3533  MIDDLE  2456.jpg"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 127
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kqCOtSQabBXS",
        "colab_type": "code",
        "outputId": "55f4b6e3-7aac-494c-ef0f-a78b94d511be",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "plt.imshow(images_test[3533])"
      ],
      "execution_count": 128,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fe5b9f89748>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 128
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dBT7_tndbKZi",
        "colab_type": "code",
        "outputId": "4786052a-972d-4a27-a6b8-219b1af4f165",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Going for second test example \n",
        "i3533 = pred.argmax(axis=1)[3533]\n",
        "i3533"
      ],
      "execution_count": 129,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 129
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hRKGGhiIbSFj",
        "colab_type": "code",
        "outputId": "38f942f0-5bbb-4dc1-82f8-00103c5c908a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "val3533 = vals[3533]\n",
        "val3533"
      ],
      "execution_count": 130,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9980464"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 130
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AAwI_itVbcUT",
        "colab_type": "code",
        "outputId": "8af26be0-afa4-4c9c-8c00-b98fdf4c42aa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "perc_val3533 = val3533*100\n",
        "perc_val3533 = perc_val3533.round(2)\n",
        "perc_val3533"
      ],
      "execution_count": 131,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "99.8"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 131
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N3YXk-RWblIT",
        "colab_type": "code",
        "outputId": "3a460ff2-08ff-47d0-cf53-47cb20d5a74f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "label3533 = lb.classes_[i3533]\n",
        "label3533"
      ],
      "execution_count": 132,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'YOUNG'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 132
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rNd_kVpKbsB0",
        "colab_type": "code",
        "outputId": "c3e8b9c2-2e54-4b77-a561-e95ba79aaf64",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        }
      },
      "source": [
        "text = label3533+\": \"+str(perc_val3533)\n",
        "#text='.'\n",
        "\n",
        "outputs[3533] = cv2.resize(outputs[3533] , (300,300))\n",
        "cv2.putText(outputs[3533], text , (10,50),  cv2.FONT_HERSHEY_SIMPLEX, 0.7 ,(0, 255, 0), 2)\n",
        "\n",
        "# show the output image\n",
        "\n",
        "cv2_imshow(outputs[3533])\n",
        "cv2.waitKey(0)"
      ],
      "execution_count": 133,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=300x300 at 0x7FE5B9FB90B8>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 133
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yLJPvCDY984G",
        "colab_type": "text"
      },
      "source": [
        "**Exporting .h5 and .json files for Deployment in Flask**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9A6XkVMpb3pu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#model_json = model.to_json()\n",
        "#with open(\"model.json\", \"w\") as json_file:\n",
        " #   json_file.write(model_json)\n",
        "\n",
        "# serialize weights to HDF5\n",
        "#model.save_weights(\"model.h5\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JqzvBglbdsb7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#from google.colab import files\n",
        "#files.download(\"model.h5\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JYgsPVecd8DH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#from google.colab import files\n",
        "#files.download(\"model.json\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KLGI_ff9eDN7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hy_XWRGQeDRC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}