mnist_classification.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from tensorflow.python.keras.models import Sequential\n",
    "from tensorflow.python.keras.layers import Conv2D, Lambda, MaxPooling2D\n",
    "from tensorflow.python.keras.layers import Dense, Flatten\n",
    "from keras.layers import BatchNormalization\n",
    "from tensorflow.python.keras.utils.np_utils import to_categorical\n",
    "from keras.datasets import mnist"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Set"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Data Set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "(X_train, y_train), (X_test, y_test) = mnist.load_data()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First Glance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10000, 28, 28)\n",
      "(60000, 28, 28)\n",
      "(10000,)\n",
      "(60000,)\n"
     ]
    }
   ],
   "source": [
    "print(X_test.shape)\n",
    "print(X_train.shape)\n",
    "print(y_test.shape)\n",
    "print(y_train.shape)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   3  18  18  18 126 136 175  26 166 255 247 127   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0  30  36  94 154 170 253 253 253 253 253 225 172 253 242 195  64   0   0   0   0 \n",
      "  0   0   0   0   0   0   0  49 238 253 253 253 253 253 253 253 253 251  93  82  82  56  39   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0  18 219 253 253 253 253 253 198 182 247 241   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0  80 156 107 253 253 205  11   0  43 154   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0  14   1 154 253  90   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0 139 253 190   2   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0  11 190 253  70   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0  35 241 225 160 108   1   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0  81 240 253 253 119  25   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0  45 186 253 253 150  27   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0  16  93 252 253 187   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 249 253 249  64   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0  46 130 183 253 253 207   2   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0  39 148 229 253 253 253 250 182   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0  24 114 221 253 253 253 253 201  78   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0  23  66 213 253 253 253 253 198  81   2   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0  18 171 219 253 253 253 253 195  80   9   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0  55 172 226 253 253 253 253 244 133  11   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0 136 253 253 253 212 135 132  16   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n",
      "  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 \n"
     ]
    }
   ],
   "source": [
    "for row in X_train[0]:\n",
    "    for i in row:\n",
    "        print(\"%3s \"%i, end=\"\")\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uoh+7xFwtedz4dVkgCF6gA4Kg7EAQlB0IgrIDQVB2IAjKDgRB2YEg/h/vpjt5hXz6+gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.imshow(X_train[0], cmap=\"gray_r\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 100 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n, k, figsize = 10, 10, (10, 10)\n",
    "fig, ax = plt.subplots(n, k, figsize=figsize)\n",
    "for i in range(n):\n",
    "    for j in range(k):\n",
    "        ax[i,j].imshow(X_train[np.random.randint(X_train.shape[0])], cmap=\"gray_r\")\n",
    "        ax[i,j].axis(\"off\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prep Data Set"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### X_test & X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We have to convert it to float 32 or float 64, otherwise the type will be mismatched (UFuncTypeError)\n",
    "X_train = X_train.astype(\"float32\")\n",
    "X_test = X_test.astype(\"float32\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "# In order to scale (normalize) the values, all of the lists are divided into 255 which is the maximum value that an image can possibly has\n",
    "X_train /= 255 \n",
    "X_test /= 255"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train shape: (60000, 28, 28)\n",
      "Number of images in x_train 60000\n",
      "Number of images in x_test 10000\n"
     ]
    }
   ],
   "source": [
    "print('X_train shape:', X_train.shape)\n",
    "print('Number of images in x_train', X_train.shape[0])\n",
    "print('Number of images in x_test', X_test.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample size:  60000\n",
      "pixel count per sample:  784\n"
     ]
    }
   ],
   "source": [
    "m, n, p = X_train.shape\n",
    "print(\"sample size: \", m)\n",
    "print(\"pixel count per sample: \", n * p)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### y_train & y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y_train:\n",
      " [[0. 0. 0. ... 0. 0. 0.]\n",
      " [1. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " ...\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 1. 0.]]\n",
      "y_test:\n",
      " [[0. 0. 0. ... 1. 0. 0.]\n",
      " [0. 0. 1. ... 0. 0. 0.]\n",
      " [0. 1. 0. ... 0. 0. 0.]\n",
      " ...\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]]\n"
     ]
    }
   ],
   "source": [
    "y_train = to_categorical(y_train)\n",
    "y_test = to_categorical(y_test)\n",
    "print(\"y_train:\\n\", y_train)\n",
    "print(\"y_test:\\n\", y_test)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean = np.mean(X_train)\n",
    "std = np.std(X_train)\n",
    "\n",
    "def standardize(x):\n",
    "    return (x-mean)/std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "epochs = 50\n",
    "batch_size = 64"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "model=Sequential()\n",
    "\n",
    "model.add(Lambda(standardize,input_shape=(28,28,1)))\n",
    "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\", input_shape=(28,28,1)))\n",
    "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\"))\n",
    "\n",
    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n",
    "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n",
    "\n",
    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
    "model.add(BatchNormalization())    \n",
    "model.add(Conv2D(filters=256, kernel_size = (3,3), activation=\"relu\"))\n",
    "    \n",
    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
    "    \n",
    "model.add(Flatten())\n",
    "model.add(BatchNormalization())\n",
    "model.add(Dense(512,activation=\"relu\"))\n",
    "    \n",
    "model.add(Dense(10,activation=\"softmax\"))\n",
    "    \n",
    "model.compile(loss=\"categorical_crossentropy\", optimizer=\"adam\", metrics=[\"accuracy\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "750/750 [==============================] - 112s 148ms/step - loss: 0.0891 - accuracy: 0.9729 - val_loss: 0.0447 - val_accuracy: 0.9867\n",
      "Epoch 2/10\n",
      "750/750 [==============================] - 132s 176ms/step - loss: 0.0426 - accuracy: 0.9872 - val_loss: 0.0442 - val_accuracy: 0.9873\n",
      "Epoch 3/10\n",
      "750/750 [==============================] - 109s 145ms/step - loss: 0.0294 - accuracy: 0.9912 - val_loss: 0.0414 - val_accuracy: 0.9897\n",
      "Epoch 4/10\n",
      "750/750 [==============================] - 100s 133ms/step - loss: 0.0265 - accuracy: 0.9918 - val_loss: 0.0362 - val_accuracy: 0.9897\n",
      "Epoch 5/10\n",
      "750/750 [==============================] - 100s 134ms/step - loss: 0.0227 - accuracy: 0.9929 - val_loss: 0.0417 - val_accuracy: 0.9889\n",
      "Epoch 6/10\n",
      "750/750 [==============================] - 106s 142ms/step - loss: 0.0187 - accuracy: 0.9940 - val_loss: 0.0408 - val_accuracy: 0.9883\n",
      "Epoch 7/10\n",
      "750/750 [==============================] - 124s 165ms/step - loss: 0.0173 - accuracy: 0.9945 - val_loss: 0.0392 - val_accuracy: 0.9910\n",
      "Epoch 8/10\n",
      "750/750 [==============================] - 123s 164ms/step - loss: 0.0161 - accuracy: 0.9950 - val_loss: 0.0444 - val_accuracy: 0.9908\n",
      "Epoch 9/10\n",
      "750/750 [==============================] - 124s 165ms/step - loss: 0.0166 - accuracy: 0.9951 - val_loss: 0.0423 - val_accuracy: 0.9918\n",
      "Epoch 10/10\n",
      "750/750 [==============================] - 119s 159ms/step - loss: 0.0104 - accuracy: 0.9966 - val_loss: 0.0494 - val_accuracy: 0.9896\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(X_train, y_train, batch_size=batch_size, validation_split=0.2, epochs=10)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Loss Curves')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Loss curve\n",
    "plt.figure(figsize = [30,10])\n",
    "plt.plot(history.history[\"loss\"], \"g\", linewidth = 2.0)\n",
    "plt.plot(history.history[\"val_loss\"], \"b\", linewidth = 2.0)\n",
    "plt.legend([\"Training Loss\", \"Validation Loss\"], fontsize = 14)\n",
    "plt.xlabel(\"Epochs\", fontsize = 10)\n",
    "plt.ylabel(\"Loss\", fontsize = 10)\n",
    "plt.title(\"Loss Curves\", fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Accuracy Curves')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy curve\n",
    "plt.figure(figsize = [30,10])\n",
    "plt.plot(history.history[\"accuracy\"], \"g\", linewidth = 2.0)\n",
    "plt.plot(history.history[\"val_accuracy\"], \"b\", linewidth = 2.0)\n",
    "plt.legend([\"Training Accuracy\", \"Validation Accuracy\"], fontsize = 14)\n",
    "plt.xlabel(\"Epochs\", fontsize = 10)\n",
    "plt.ylabel(\"Accuracy\", fontsize = 10)\n",
    "plt.title(\"Accuracy Curves\", fontsize = 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 10)) # Set Figure\n",
    "\n",
    "y_pred = model.predict(X_test) # Predict encoded label as 2 => [0, 0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
    "\n",
    "Y_pred = np.argmax(y_pred, 1) # Decode Predicted labels\n",
    "Y_test = np.argmax(y_test, 1) # Decode labels\n",
    "\n",
    "mat = confusion_matrix(Y_test, Y_pred) # Confusion matrix\n",
    "\n",
    "# Plot Confusion matrix\n",
    "sns.heatmap(mat.T, square=True, annot=True, cbar=False, cmap=plt.cm.Blues)\n",
    "plt.xlabel('Predicted Values')\n",
    "plt.ylabel('True Values');\n",
    "plt.show();"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x1008 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_pred = model.predict(X_test)\n",
    "X_test__ = X_test.reshape(X_test.shape[0], 28, 28)\n",
    "\n",
    "fig, axis = plt.subplots(4, 4, figsize=(12, 14))\n",
    "for i, ax in enumerate(axis.flat):\n",
    "    ax.imshow(X_test__[i], cmap='binary')\n",
    "    ax.set(title = f\"Real Number is {y_test[i].argmax()}\\nPredicted Number is {y_pred[i].argmax()}\");"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "c7dcb02a9b9c541d11f3c0a22929733a66d394e1cfed09f0518128d298c19361"
  },
  "kernelspec": {
   "display_name": "Python 3.9.5 64-bit ('venv_py_3.9.5': venv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}