Assignment_2_Q1_Final(CIFAR-10 Image recognition).ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Sharminrahi/Deep-Learning/blob/main/Assignment_2_Q1_Final.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pTWuSH05CQaY"
      },
      "source": [
        "# Question 1\n",
        "**The CIFAR-10 dataset consists of a total of 60,000 colour images of dimensions $32\\times32$ with a total of 10 classes. There are 50,000 training images and 10,000 test images. Develop a feedforward neural network (i.e. a MLP) for image classi cation for this dataset. Experiment with the number of hidden layers, units per layer, activation functions, etc. Verify the model(s) by reporting suitable metrics, such as accuracy, precision, recall, per-class accuracy, etc. What overall accuracy can your model obtain for this dataset?\n",
        "Visualize some of the correct and incorrect predictions of your model.**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oont7hs3WZEz"
      },
      "source": [
        "# Part 1\n",
        "Develop a feedforward neural network (i.e. MLP) for image classification for this dataset."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IGrV5kBpday0"
      },
      "source": [
        "**A feedforward neural network are also called as multilayered network of neurons used for supervised learning in cases where the data to be learned is neither sequential nor time-dependent. Every unit in a layer is connected with all the units in the previous layer.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "SCUG6VK6Bjpr",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b4afef44-1499-4a68-e5f5-028dcec6f9b5"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        }
      ],
      "source": [
        "!pip install tensorflow"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aPOEYLlgexL0"
      },
      "source": [
        "# Using tensor flow Keras API"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RNN0sCzxY17_"
      },
      "source": [
        "# Import Libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "klmtLaJRY5x5"
      },
      "outputs": [],
      "source": [
        "import tensorflow as tf\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from tensorflow.keras.datasets import cifar10 \n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Dense, Flatten, Conv2D, MaxPooling2D, Dropout\n",
        "from tensorflow.keras.optimizers import Adam"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zL6LmvjTfUuN"
      },
      "source": [
        "# Step 1\n",
        "Load the CIFAR-10 dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "fU3f3k4XfeD0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7e7b9c5e-8e69-4266-8f33-c78e52f20365"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<module 'keras.api._v2.keras.datasets.cifar10' from '/usr/local/lib/python3.8/dist-packages/keras/api/_v2/keras/datasets/cifar10/__init__.py'>"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "cifar_10 = tf.keras.datasets.cifar10\n",
        "cifar_10"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EbtPBCfBfuXP"
      },
      "source": [
        "# Step 2\n",
        "Building traning/testing pipelines"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "3wBT8EFVf0Cd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0a4c1d89-692d-44f1-d2f4-c68831563019"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading data from https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\n",
            "170498071/170498071 [==============================] - 4s 0us/step\n"
          ]
        }
      ],
      "source": [
        "(X_train, Y_train), (X_test, Y_test) = cifar_10.load_data()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "9i1U6a8pglOf",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "13cfe419-f129-461b-aaf6-f376ec792af2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train: X=(50000, 32, 32, 3), y=(50000, 1)\n",
            "Test: X=(10000, 32, 32, 3), y=(10000, 1)\n"
          ]
        }
      ],
      "source": [
        "# summarize loaded dataset\n",
        "print('Train: X=%s, y=%s' % (X_train.shape, Y_train.shape))\n",
        "print('Test: X=%s, y=%s' % (X_test.shape, Y_test.shape))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a7zg6cchg8Xb"
      },
      "source": [
        "We can see that there are 50,000 examples in the training dataset and 10,000 in the test dataset and that images are indeed square with 32×32 pixels and color, with three channels i.e. images are color images. As well as it is also visible that there is only a single label assigned with each image."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L2R2sn98hUtn"
      },
      "source": [
        "# Step 3: Process the Data\n",
        "We need to process the data in order to send it to the network which includes:\n",
        "\n",
        "1. Reduce the pixel values (range between 0 and 1)\n",
        "2. We can do this simply dividing all pixel values by 255\n",
        "3. We can also do flatten(rearrange them in form of row)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "ubBH6maPjDJZ"
      },
      "outputs": [],
      "source": [
        "X_train = X_train.astype('float32')\n",
        "X_test = X_test.astype('float32')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WydIgy6_jj6h"
      },
      "source": [
        "# Normalize to range from 0 to 1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "6aS0dVHmjw5X"
      },
      "outputs": [],
      "source": [
        "X_train = X_train/255.0\n",
        "X_test = X_test/255.0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "M9m9sj-cn2PJ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "acd5949a-e3b2-4e24-9e09-1cc7776ff025"
      },
      "outputs": [
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              "        ...,\n",
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              "         ...,\n",
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              "         [0.9019608 , 0.89411765, 0.88235295],\n",
              "         [0.94509804, 0.94509804, 0.93333334]],\n",
              "\n",
              "        [[0.5372549 , 0.5176471 , 0.49411765],\n",
              "         [0.50980395, 0.49803922, 0.47058824],\n",
              "         [0.49019608, 0.4745098 , 0.4509804 ],\n",
              "         ...,\n",
              "         [0.70980394, 0.7058824 , 0.69803923],\n",
              "         [0.7921569 , 0.7882353 , 0.7764706 ],\n",
              "         [0.83137256, 0.827451  , 0.8117647 ]],\n",
              "\n",
              "        [[0.47843137, 0.46666667, 0.44705883],\n",
              "         [0.4627451 , 0.45490196, 0.43137255],\n",
              "         [0.47058824, 0.45490196, 0.43529412],\n",
              "         ...,\n",
              "         [0.7019608 , 0.69411767, 0.6784314 ],\n",
              "         [0.6431373 , 0.6431373 , 0.63529414],\n",
              "         [0.6392157 , 0.6392157 , 0.6313726 ]]]], dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "X_train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "o88tny8hoG0Z",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "65d65eb9-0ed2-4417-d2fe-9e128242b7c3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "         [0.13333334, 0.10196079, 0.05882353],\n",
              "         ...,\n",
              "         [0.10588235, 0.09411765, 0.20392157],\n",
              "         [0.10588235, 0.09411765, 0.21960784],\n",
              "         [0.09803922, 0.08627451, 0.18431373]],\n",
              "\n",
              "        [[0.12156863, 0.09019608, 0.04705882],\n",
              "         [0.1254902 , 0.09411765, 0.05098039],\n",
              "         [0.12941177, 0.09803922, 0.05490196],\n",
              "         ...,\n",
              "         [0.09411765, 0.09019608, 0.19607843],\n",
              "         [0.10196079, 0.09019608, 0.20784314],\n",
              "         [0.09803922, 0.07843138, 0.18431373]]],\n",
              "\n",
              "\n",
              "       [[[0.09803922, 0.15686275, 0.04705882],\n",
              "         [0.05882353, 0.14117648, 0.01176471],\n",
              "         [0.09019608, 0.16078432, 0.07058824],\n",
              "         ...,\n",
              "         [0.23921569, 0.32156864, 0.30588236],\n",
              "         [0.36078432, 0.44313726, 0.4392157 ],\n",
              "         [0.29411766, 0.34901962, 0.36078432]],\n",
              "\n",
              "        [[0.04705882, 0.09803922, 0.02352941],\n",
              "         [0.07843138, 0.14509805, 0.02745098],\n",
              "         [0.09411765, 0.14117648, 0.05882353],\n",
              "         ...,\n",
              "         [0.4509804 , 0.5254902 , 0.5411765 ],\n",
              "         [0.58431375, 0.65882355, 0.69411767],\n",
              "         [0.40784314, 0.45882353, 0.5137255 ]],\n",
              "\n",
              "        [[0.04705882, 0.09803922, 0.04313726],\n",
              "         [0.05882353, 0.11372549, 0.02352941],\n",
              "         [0.13333334, 0.15686275, 0.09411765],\n",
              "         ...,\n",
              "         [0.6039216 , 0.6745098 , 0.7137255 ],\n",
              "         [0.6156863 , 0.6862745 , 0.7529412 ],\n",
              "         [0.45490196, 0.5058824 , 0.5921569 ]],\n",
              "\n",
              "        ...,\n",
              "\n",
              "        [[0.39215687, 0.5058824 , 0.31764707],\n",
              "         [0.40392157, 0.5176471 , 0.32941177],\n",
              "         [0.40784314, 0.5254902 , 0.3372549 ],\n",
              "         ...,\n",
              "         [0.38039216, 0.5019608 , 0.32941177],\n",
              "         [0.38431373, 0.49411765, 0.32941177],\n",
              "         [0.35686275, 0.4745098 , 0.30980393]],\n",
              "\n",
              "        [[0.40392157, 0.5176471 , 0.3254902 ],\n",
              "         [0.40784314, 0.5137255 , 0.3254902 ],\n",
              "         [0.41960785, 0.5294118 , 0.34117648],\n",
              "         ...,\n",
              "         [0.39607844, 0.5176471 , 0.34117648],\n",
              "         [0.3882353 , 0.49803922, 0.32941177],\n",
              "         [0.36078432, 0.4745098 , 0.30980393]],\n",
              "\n",
              "        [[0.37254903, 0.49411765, 0.30588236],\n",
              "         [0.37254903, 0.48235294, 0.29803923],\n",
              "         [0.39607844, 0.5019608 , 0.31764707],\n",
              "         ...,\n",
              "         [0.3647059 , 0.4862745 , 0.3137255 ],\n",
              "         [0.37254903, 0.48235294, 0.31764707],\n",
              "         [0.36078432, 0.47058824, 0.3137255 ]]],\n",
              "\n",
              "\n",
              "       [[[0.28627452, 0.30588236, 0.29411766],\n",
              "         [0.38431373, 0.40392157, 0.44313726],\n",
              "         [0.3882353 , 0.41568628, 0.44705883],\n",
              "         ...,\n",
              "         [0.5294118 , 0.5882353 , 0.59607846],\n",
              "         [0.5294118 , 0.58431375, 0.6039216 ],\n",
              "         [0.79607844, 0.84313726, 0.8745098 ]],\n",
              "\n",
              "        [[0.27058825, 0.28627452, 0.27450982],\n",
              "         [0.32941177, 0.34901962, 0.38039216],\n",
              "         [0.26666668, 0.29411766, 0.31764707],\n",
              "         ...,\n",
              "         [0.33333334, 0.37254903, 0.34901962],\n",
              "         [0.2784314 , 0.32156864, 0.3137255 ],\n",
              "         [0.47058824, 0.52156866, 0.5294118 ]],\n",
              "\n",
              "        [[0.27058825, 0.28627452, 0.27450982],\n",
              "         [0.3529412 , 0.37254903, 0.39215687],\n",
              "         [0.24313726, 0.2784314 , 0.2901961 ],\n",
              "         ...,\n",
              "         [0.2901961 , 0.31764707, 0.27450982],\n",
              "         [0.20784314, 0.24313726, 0.21176471],\n",
              "         [0.24313726, 0.2901961 , 0.27058825]],\n",
              "\n",
              "        ...,\n",
              "\n",
              "        [[0.48235294, 0.5019608 , 0.3764706 ],\n",
              "         [0.5176471 , 0.5176471 , 0.4       ],\n",
              "         [0.5058824 , 0.5019608 , 0.39215687],\n",
              "         ...,\n",
              "         [0.42352942, 0.41960785, 0.34509805],\n",
              "         [0.24313726, 0.23529412, 0.21568628],\n",
              "         [0.10588235, 0.10588235, 0.10980392]],\n",
              "\n",
              "        [[0.4509804 , 0.4745098 , 0.35686275],\n",
              "         [0.48235294, 0.4862745 , 0.37254903],\n",
              "         [0.5058824 , 0.49411765, 0.3882353 ],\n",
              "         ...,\n",
              "         [0.4509804 , 0.45490196, 0.36862746],\n",
              "         [0.25882354, 0.25490198, 0.23137255],\n",
              "         [0.10588235, 0.10588235, 0.10588235]],\n",
              "\n",
              "        [[0.45490196, 0.47058824, 0.3529412 ],\n",
              "         [0.4745098 , 0.47843137, 0.36862746],\n",
              "         [0.5058824 , 0.5019608 , 0.39607844],\n",
              "         ...,\n",
              "         [0.45490196, 0.4509804 , 0.36862746],\n",
              "         [0.26666668, 0.25490198, 0.22745098],\n",
              "         [0.10588235, 0.10196079, 0.10196079]]]], dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "X_test"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cXb0sxf4kGAj"
      },
      "source": [
        "# Flatten the image"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "ytAm85W5kKVg"
      },
      "outputs": [],
      "source": [
        "Y_train = Y_train.flatten()\n",
        "Y_tets = Y_test.flatten()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "awHBlc23oKwh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f2655336-43e0-401b-a830-5ee84f80f0fc"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([6, 9, 9, ..., 9, 1, 1], dtype=uint8)"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "Y_train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "ugggZ3PyoNdj",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8a02a7c3-4763-4eb7-bf5e-ada04515f1f9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[3],\n",
              "       [8],\n",
              "       [8],\n",
              "       ...,\n",
              "       [5],\n",
              "       [1],\n",
              "       [7]], dtype=uint8)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "Y_test"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tMFxn3hLodvf"
      },
      "source": [
        "# Plot first few images"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "H9UpBs9BodbC",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        },
        "outputId": "e713f559-59c4-47df-86da-1182547bdaf0"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 9 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "for i in range(9):\n",
        " # define subplot\n",
        " plt.subplot(330 + 1 + i)\n",
        " # plot raw pixel data\n",
        " plt.imshow(X_train[i])\n",
        "# show the figure\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "81IbU7kjpPNi",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "outputId": "6d57bbfa-8339-49cd-870e-9f567eeaf8f8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 64 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# visualize data by plotting images\n",
        "fig, ax = plt.subplots(8, 8)\n",
        "k = 0\n",
        " \n",
        "for i in range(8):\n",
        "    for j in range(8):\n",
        "        ax[i][j].imshow(X_train[k], aspect='auto')\n",
        "        k += 1\n",
        " \n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WPE-pIR8sJ30"
      },
      "source": [
        "# Step 4: Create the model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "vR-RUA1ktaQ3"
      },
      "outputs": [],
      "source": [
        "inp = tf.keras.layers.Input(shape=(32,32,3))\n",
        "b = tf.keras.layers.Flatten()(inp)\n",
        "b = tf.keras.layers.Dense(512, activation='relu')(b)\n",
        "b = tf.keras.layers.Dense(256, activation='relu')(b)\n",
        "out = tf.keras.layers.Dense(10, activation='softmax')(b)\n",
        "\n",
        "model = tf.keras.models.Model(inp, out)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "9ukO9xqUzKci",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2e7f798c-8d63-4403-f8a9-09b70be76833"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"model\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " input_1 (InputLayer)        [(None, 32, 32, 3)]       0         \n",
            "                                                                 \n",
            " flatten (Flatten)           (None, 3072)              0         \n",
            "                                                                 \n",
            " dense (Dense)               (None, 512)               1573376   \n",
            "                                                                 \n",
            " dense_1 (Dense)             (None, 256)               131328    \n",
            "                                                                 \n",
            " dense_2 (Dense)             (None, 10)                2570      \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 1,707,274\n",
            "Trainable params: 1,707,274\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "# Summary of the model\n",
        "model.summary()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0DCHnIl21FN2"
      },
      "source": [
        "# Step 5: # Compile the model(loss function and the chosen variant of GD)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "el2h9cs21QVL"
      },
      "outputs": [],
      "source": [
        "model.compile(\n",
        "    loss='sparse_categorical_crossentropy',\n",
        "    optimizer=tf.keras.optimizers.Adam(),\n",
        "    metrics=['accuracy'],\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NFJS5SVX1aH9"
      },
      "source": [
        "# Step 6: Train the model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "eG-Zv3SK1XEq",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a03d6eff-cdb7-4697-d354-779ea160ebcd"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/100\n",
            "1563/1563 [==============================] - 38s 24ms/step - loss: 1.8572 - accuracy: 0.3294 - val_loss: 1.6985 - val_accuracy: 0.3944\n",
            "Epoch 2/100\n",
            "1563/1563 [==============================] - 38s 25ms/step - loss: 1.6822 - accuracy: 0.3963 - val_loss: 1.6342 - val_accuracy: 0.4134\n",
            "Epoch 3/100\n",
            "1563/1563 [==============================] - 37s 24ms/step - loss: 1.5964 - accuracy: 0.4288 - val_loss: 1.5629 - val_accuracy: 0.4466\n",
            "Epoch 4/100\n",
            "1563/1563 [==============================] - 37s 23ms/step - loss: 1.5459 - accuracy: 0.4483 - val_loss: 1.5610 - val_accuracy: 0.4420\n",
            "Epoch 5/100\n",
            "1563/1563 [==============================] - 37s 23ms/step - loss: 1.5104 - accuracy: 0.4597 - val_loss: 1.4959 - val_accuracy: 0.4699\n",
            "Epoch 6/100\n",
            "1563/1563 [==============================] - 37s 24ms/step - loss: 1.4842 - accuracy: 0.4726 - val_loss: 1.4810 - val_accuracy: 0.4766\n",
            "Epoch 7/100\n",
            "1563/1563 [==============================] - 37s 23ms/step - loss: 1.4587 - accuracy: 0.4798 - val_loss: 1.4909 - val_accuracy: 0.4716\n",
            "Epoch 8/100\n",
            "1563/1563 [==============================] - 36s 23ms/step - loss: 1.4360 - accuracy: 0.4864 - val_loss: 1.5380 - val_accuracy: 0.4517\n"
          ]
        }
      ],
      "source": [
        "hist = model.fit(\n",
        "    X_train, Y_train,\n",
        "    epochs=100,\n",
        "    validation_data=(X_test, Y_test),\n",
        "    callbacks = tf.keras.callbacks.EarlyStopping(patience=2)\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KGAkxH-24Gcg"
      },
      "source": [
        "# Add Data Auggmation to train the model again"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kQhzlx7k4CuP",
        "outputId": "36867a8c-25cb-4822-9a79-77c2b319793c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/50\n",
            "1562/1562 [==============================] - 63s 40ms/step - loss: 1.5624 - accuracy: 0.4396 - val_loss: 1.4672 - val_accuracy: 0.4725\n",
            "Epoch 2/50\n",
            "1562/1562 [==============================] - 61s 39ms/step - loss: 1.5466 - accuracy: 0.4458 - val_loss: 1.4505 - val_accuracy: 0.4868\n",
            "Epoch 3/50\n",
            "1562/1562 [==============================] - 62s 40ms/step - loss: 1.5383 - accuracy: 0.4486 - val_loss: 1.4601 - val_accuracy: 0.4755\n",
            "Epoch 4/50\n",
            "1562/1562 [==============================] - 62s 39ms/step - loss: 1.5274 - accuracy: 0.4551 - val_loss: 1.4397 - val_accuracy: 0.4864\n",
            "Epoch 5/50\n",
            "1562/1562 [==============================] - 64s 41ms/step - loss: 1.5185 - accuracy: 0.4567 - val_loss: 1.4574 - val_accuracy: 0.4784\n",
            "Epoch 6/50\n",
            "1562/1562 [==============================] - 61s 39ms/step - loss: 1.5065 - accuracy: 0.4605 - val_loss: 1.4589 - val_accuracy: 0.4787\n",
            "Epoch 7/50\n",
            "1562/1562 [==============================] - 61s 39ms/step - loss: 1.4999 - accuracy: 0.4592 - val_loss: 1.4941 - val_accuracy: 0.4682\n",
            "Epoch 8/50\n",
            "1562/1562 [==============================] - 63s 40ms/step - loss: 1.4947 - accuracy: 0.4640 - val_loss: 1.4485 - val_accuracy: 0.4860\n",
            "Epoch 9/50\n",
            "1562/1562 [==============================] - 63s 40ms/step - loss: 1.4887 - accuracy: 0.4653 - val_loss: 1.4379 - val_accuracy: 0.4871\n",
            "Epoch 10/50\n",
            "1562/1562 [==============================] - 62s 39ms/step - loss: 1.4819 - accuracy: 0.4680 - val_loss: 1.4461 - val_accuracy: 0.4847\n",
            "Epoch 11/50\n",
            "1562/1562 [==============================] - 64s 41ms/step - loss: 1.4769 - accuracy: 0.4703 - val_loss: 1.4279 - val_accuracy: 0.4894\n",
            "Epoch 12/50\n",
            "1562/1562 [==============================] - 60s 39ms/step - loss: 1.4716 - accuracy: 0.4726 - val_loss: 1.4135 - val_accuracy: 0.4937\n",
            "Epoch 13/50\n",
            "1562/1562 [==============================] - 62s 40ms/step - loss: 1.4672 - accuracy: 0.4761 - val_loss: 1.4633 - val_accuracy: 0.4815\n",
            "Epoch 14/50\n",
            "1562/1562 [==============================] - 61s 39ms/step - loss: 1.4615 - accuracy: 0.4781 - val_loss: 1.4166 - val_accuracy: 0.5052\n",
            "Epoch 15/50\n",
            "1562/1562 [==============================] - 62s 39ms/step - loss: 1.4595 - accuracy: 0.4763 - val_loss: 1.4297 - val_accuracy: 0.5050\n",
            "Epoch 16/50\n",
            "1562/1562 [==============================] - 64s 41ms/step - loss: 1.4534 - accuracy: 0.4810 - val_loss: 1.4369 - val_accuracy: 0.4884\n",
            "Epoch 17/50\n",
            "1562/1562 [==============================] - 62s 40ms/step - loss: 1.4557 - accuracy: 0.4797 - val_loss: 1.4378 - val_accuracy: 0.4901\n"
          ]
        }
      ],
      "source": [
        "batch_size = 32\n",
        "data_generator = tf.keras.preprocessing.image.ImageDataGenerator(\n",
        "  width_shift_range = 0.1, height_shift_range = 0.1, horizontal_flip = True)\n",
        " \n",
        "train_generator = data_generator.flow(X_train, Y_train, batch_size)\n",
        "steps_per_epoch = X_train.shape[0] // batch_size\n",
        " \n",
        "callback = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5)\n",
        "r = model.fit(train_generator, validation_data = (X_test, Y_test),\n",
        "              steps_per_epoch = steps_per_epoch, epochs = 50, callbacks=[callback])\n",
        "\n",
        "#r = model.fit(train_generator, validation_data = (X_test, Y_test),\n",
        "              #steps_per_epoch = steps_per_epoch, epochs = 50)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yvWRpcsz_wwP"
      },
      "source": [
        "# Plot the training progress"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "62Lv33qX_xMd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        },
        "outputId": "d0a7dce7-5fe3-471f-a84d-0f9a8590c5e7"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "fig = plt.figure(figsize=(10,8))\n",
        "plt.plot(hist.history['loss'])\n",
        "plt.plot(hist.history['val_loss'])\n",
        "plt.title('Loss function')\n",
        "plt.ylabel('Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.grid()\n",
        "plt.legend(['Training data', 'Test data'])\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "PethM90QAHDH",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 531
        },
        "outputId": "bb9696e0-3b12-4074-a3e6-0c65a011bdaa"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7ff9aa004070>"
            ]
          },
          "metadata": {},
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "fig = plt.figure(figsize=(10,8))\n",
        "plt.plot(hist.history['accuracy'])\n",
        "plt.plot(hist.history['val_accuracy'])\n",
        "plt.title('Model accuracy')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.grid()\n",
        "plt.legend(['Training data', 'Test data'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "77KqFLDpAtyd"
      },
      "source": [
        "# Step 7: Evaluate the model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "kHuiwg6XA5LZ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "37cea64d-13a6-4803-ba4f-06fd86df1330"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Test Loss: 1.4377726316452026\n",
            "Test Accuracy: 0.4900999963283539\n"
          ]
        }
      ],
      "source": [
        "loss_accuracy = model.evaluate(X_test, Y_test, verbose = 0)\n",
        "\n",
        "print(\"Test Loss: {}\".format(loss_accuracy[0]))\n",
        "print(\"Test Accuracy: {}\".format(loss_accuracy[1]))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nxeNHpXNBVG-"
      },
      "source": [
        "# Part (b)\n",
        "Verify the model(s) by reporting suitable metrics, such as accuracy, precision, recall, per-class accuracy, etc. \n",
        "Visualize some of the correct and incorrect predictions of your model."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m8b5x-SDBOAd"
      },
      "source": [
        "# To calculate precision, recall, and per-class accuracy, we can use the classification_report and confusion_matrix from scikit-learn library.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "PfzpFLHTBs4p",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "181a5c4e-040c-4444-ad5b-4ba4c95a3821"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "313/313 [==============================] - 2s 5ms/step\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      0.07      0.12     10000\n",
            "           1       0.00      0.00      0.00         0\n",
            "           2       0.00      0.00      0.00         0\n",
            "           3       0.00      0.00      0.00         0\n",
            "           4       0.00      0.00      0.00         0\n",
            "           5       0.00      0.00      0.00         0\n",
            "           6       0.00      0.00      0.00         0\n",
            "           7       0.00      0.00      0.00         0\n",
            "           8       0.00      0.00      0.00         0\n",
            "           9       0.00      0.00      0.00         0\n",
            "\n",
            "    accuracy                           0.07     10000\n",
            "   macro avg       0.10      0.01      0.01     10000\n",
            "weighted avg       1.00      0.07      0.12     10000\n",
            "\n",
            "Confusion Matrix: \n",
            " [[ 655 1050  530  624 1024  711 1423 1075 1405 1503]\n",
            " [   0    0    0    0    0    0    0    0    0    0]\n",
            " [   0    0    0    0    0    0    0    0    0    0]\n",
            " [   0    0    0    0    0    0    0    0    0    0]\n",
            " [   0    0    0    0    0    0    0    0    0    0]\n",
            " [   0    0    0    0    0    0    0    0    0    0]\n",
            " [   0    0    0    0    0    0    0    0    0    0]\n",
            " [   0    0    0    0    0    0    0    0    0    0]\n",
            " [   0    0    0    0    0    0    0    0    0    0]\n",
            " [   0    0    0    0    0    0    0    0    0    0]]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ]
        }
      ],
      "source": [
        "# Predict the classes on the test set\n",
        "y_pred = model.predict(X_test).argmax(axis=1)\n",
        "y_true = Y_test.argmax(axis=1)\n",
        "\n",
        "# Calculate precision, recall, and per-class accuracy\n",
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "print(classification_report(y_true, y_pred))\n",
        "print('Confusion Matrix: \\n', confusion_matrix(y_true, y_pred));"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0mNe5st2EbEU"
      },
      "source": [
        "# Part (C)\n",
        "What overall accuracy can your model obtain for this dataset?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "FWBpZHkiEE7W",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d27e39f3-ccdf-4969-fc52-2b857b07aab6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1875/1875 [==============================] - 21s 11ms/step - loss: 1.3903 - accuracy: 0.5005\n",
            "Overall Accuracy: 0.5005\n"
          ]
        }
      ],
      "source": [
        "# Reshape Y_train and Y_test to 2D arrays\n",
        "Y_train = Y_train.reshape(-1, 1)\n",
        "Y_test = Y_test.reshape(-1, 1)\n",
        "\n",
        "# Concatenate the training and test sets\n",
        "X_total = np.concatenate((X_train, X_test))\n",
        "Y_total = np.concatenate((Y_train, Y_test))\n",
        "\n",
        "# Evaluate the model on the entire dataset\n",
        "_, overall_accuracy = model.evaluate(X_total, Y_total)\n",
        "\n",
        "print(\"Overall Accuracy: {:.4f}\".format(overall_accuracy))\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uL0M0BjQBR8D"
      },
      "source": [
        "# Part(d)\n",
        "Visualize some of the correct and incorrect predictions of your model."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "c0dN1heSEpbL",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "53f5ceef-4ca1-44fb-c7ca-88fa45817cdb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "10000000 classified correctly\n",
            "90000000 classified incorrectly\n"
          ]
        }
      ],
      "source": [
        "# checking the correct and incorrect predictions\n",
        "correct_indices = np.nonzero(y_pred == Y_test)[0]\n",
        "incorrect_indices = np.nonzero(y_pred != Y_test)[0]\n",
        "print(len(correct_indices), \"classified correctly\")\n",
        "print(len(incorrect_indices), \"classified incorrectly\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "def visualize_predictions(model, X_test, Y_test):\n",
        "    # Get predictions for all examples\n",
        "    Y_pred = model.predict(X_test)\n",
        "    # Round the predicted labels to 0 or 1\n",
        "    Y_pred = np.round(Y_pred)\n",
        "    # Convert one-hot encoding to class labels\n",
        "    Y_pred = np.argmax(Y_pred, axis=1)\n",
        "    Y_true = np.argmax(Y_test, axis=1)\n",
        "\n",
        "    # Select a random subset of the data\n",
        "    n_examples = 12\n",
        "    random_idx = np.random.randint(0, X_test.shape[0], n_examples)\n",
        "    X = X_test[random_idx]\n",
        "    Y_pred = Y_pred[random_idx]\n",
        "    Y_true = Y_true[random_idx]\n",
        "\n",
        "    # Plot the results\n",
        "    fig1, axs = plt.subplots(3, 4, figsize=(12, 9))\n",
        "\n",
        "    for i in range(n_examples):\n",
        "        ax = axs[i // 4, i % 4]\n",
        "        ax.imshow(X[i])\n",
        "        title = \"True: {}, Pred: {}\".format(Y_true[i], Y_pred[i])\n",
        "        if Y_true[i] == Y_pred[i]:\n",
        "            title += \"\\nCorrect\"\n",
        "        else:\n",
        "            title += \"\\nIncorrect\"\n",
        "        ax.set_title(title)\n",
        "        ax.axis('off')\n",
        "    plt.show()\n"
      ],
      "metadata": {
        "id": "uMKun35YyEm_"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "visualize_predictions(model, X_test, Y_test)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "Jz5WmMdFySBt",
        "outputId": "01f4f4b0-8d9b-4fb6-dabe-324edac13081"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "313/313 [==============================] - 2s 5ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x648 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}