handwritten_digit_recognition.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPmaQ90ZFeM6gqVKMSjG9xG"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "JLyjQDA-MWht"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import tensorflow as tf\n",
        "from tensorflow.keras.datasets import mnist\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Dense, Flatten, Conv2D, MaxPooling2D\n",
        "from sklearn.metrics import classification_report, confusion_matrix\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Load the MNIST dataset\n",
        "(X_train, y_train), (X_test, y_test) = mnist.load_data()\n",
        "\n",
        "# Normalize the images\n",
        "X_train = X_train / 255.0\n",
        "X_test = X_test / 255.0\n",
        "\n",
        "# Reshape the data to include the channel dimension\n",
        "X_train = X_train.reshape(-1, 28, 28, 1)\n",
        "X_test = X_test.reshape(-1, 28, 28, 1)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UA25dwt1NBO2",
        "outputId": "2b0db660-4ad6-4a28-b8e2-6dd156c6311e"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n",
            "11490434/11490434 [==============================] - 0s 0us/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Visualize the first few images\n",
        "plt.figure(figsize=(10, 10))\n",
        "for i in range(9):\n",
        "    plt.subplot(3, 3, i + 1)\n",
        "    plt.imshow(X_train[i].reshape(28, 28), cmap='gray')\n",
        "    plt.title(f'Label: {y_train[i]}')\n",
        "    plt.axis('off')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 829
        },
        "id": "qbnyj3nnNRPM",
        "outputId": "158ef491-f099-4a7f-de37-7151d79c53aa"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 9 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model = Sequential([\n",
        "    Conv2D(32, kernel_size=(3, 3), activation='relu', input_shape=(28, 28, 1)),\n",
        "    MaxPooling2D(pool_size=(2, 2)),\n",
        "    Flatten(),\n",
        "    Dense(128, activation='relu'),\n",
        "    Dense(10, activation='softmax')\n",
        "])\n",
        "\n",
        "model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n"
      ],
      "metadata": {
        "id": "r-iKfvECNYPl"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "history = model.fit(X_train, y_train, epochs=10, validation_data=(X_test, y_test))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ftlcu1w4Nd1x",
        "outputId": "3f9f10a4-9c0e-4075-e7a9-15232f14c49f"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n",
            "1875/1875 [==============================] - 42s 22ms/step - loss: 0.1523 - accuracy: 0.9544 - val_loss: 0.0630 - val_accuracy: 0.9789\n",
            "Epoch 2/10\n",
            "1875/1875 [==============================] - 39s 21ms/step - loss: 0.0514 - accuracy: 0.9842 - val_loss: 0.0482 - val_accuracy: 0.9846\n",
            "Epoch 3/10\n",
            "1875/1875 [==============================] - 36s 19ms/step - loss: 0.0327 - accuracy: 0.9898 - val_loss: 0.0399 - val_accuracy: 0.9869\n",
            "Epoch 4/10\n",
            "1875/1875 [==============================] - 38s 20ms/step - loss: 0.0223 - accuracy: 0.9930 - val_loss: 0.0480 - val_accuracy: 0.9849\n",
            "Epoch 5/10\n",
            "1875/1875 [==============================] - 36s 19ms/step - loss: 0.0154 - accuracy: 0.9949 - val_loss: 0.0395 - val_accuracy: 0.9871\n",
            "Epoch 6/10\n",
            "1875/1875 [==============================] - 35s 19ms/step - loss: 0.0109 - accuracy: 0.9965 - val_loss: 0.0409 - val_accuracy: 0.9875\n",
            "Epoch 7/10\n",
            "1875/1875 [==============================] - 37s 19ms/step - loss: 0.0087 - accuracy: 0.9969 - val_loss: 0.0526 - val_accuracy: 0.9856\n",
            "Epoch 8/10\n",
            "1875/1875 [==============================] - 36s 19ms/step - loss: 0.0060 - accuracy: 0.9980 - val_loss: 0.0671 - val_accuracy: 0.9830\n",
            "Epoch 9/10\n",
            "1875/1875 [==============================] - 35s 19ms/step - loss: 0.0066 - accuracy: 0.9977 - val_loss: 0.0528 - val_accuracy: 0.9865\n",
            "Epoch 10/10\n",
            "1875/1875 [==============================] - 37s 20ms/step - loss: 0.0041 - accuracy: 0.9987 - val_loss: 0.0540 - val_accuracy: 0.9859\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot training & validation accuracy values\n",
        "plt.figure(figsize=(12, 4))\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.plot(history.history['accuracy'])\n",
        "plt.plot(history.history['val_accuracy'])\n",
        "plt.title('Model accuracy')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Test'], loc='upper left')\n",
        "\n",
        "# Plot training & validation loss values\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.plot(history.history['loss'])\n",
        "plt.plot(history.history['val_loss'])\n",
        "plt.title('Model loss')\n",
        "plt.ylabel('Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Test'], loc='upper left')\n",
        "plt.show()\n",
        "\n",
        "# Evaluate the model\n",
        "loss, accuracy = model.evaluate(X_test, y_test)\n",
        "print(f'Accuracy: {accuracy * 100:.2f}%')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 445
        },
        "id": "j_x-J1jOcAPy",
        "outputId": "5ff4fa61-b5de-418d-e06d-07010b0798b4"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "313/313 [==============================] - 3s 9ms/step - loss: 0.0540 - accuracy: 0.9859\n",
            "Accuracy: 98.59%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Make predictions\n",
        "y_pred = np.argmax(model.predict(X_test), axis=1)\n",
        "\n",
        "# Classification report\n",
        "print(classification_report(y_test, y_pred))\n",
        "\n",
        "# Confusion matrix\n",
        "cm = confusion_matrix(y_test, y_pred)\n",
        "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n",
        "plt.xlabel('Predicted')\n",
        "plt.ylabel('True')\n",
        "plt.title('Confusion Matrix')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 784
        },
        "id": "fD7y9qcFcG3O",
        "outputId": "80f1e9b9-ef9a-4b04-b9c4-e97d910c8fb1"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "313/313 [==============================] - 4s 10ms/step\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.99      0.99      0.99       980\n",
            "           1       0.99      1.00      0.99      1135\n",
            "           2       0.99      0.98      0.98      1032\n",
            "           3       0.99      0.99      0.99      1010\n",
            "           4       0.98      0.99      0.99       982\n",
            "           5       0.98      0.99      0.98       892\n",
            "           6       0.99      0.99      0.99       958\n",
            "           7       0.99      0.99      0.99      1028\n",
            "           8       0.98      0.99      0.98       974\n",
            "           9       0.99      0.97      0.98      1009\n",
            "\n",
            "    accuracy                           0.99     10000\n",
            "   macro avg       0.99      0.99      0.99     10000\n",
            "weighted avg       0.99      0.99      0.99     10000\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}