mnist.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "938/938 [==============================] - 6s 6ms/step - loss: 0.3913 - accuracy: 0.8823 - val_loss: 0.2255 - val_accuracy: 0.9320\n",
      "Epoch 2/5\n",
      "938/938 [==============================] - 6s 6ms/step - loss: 0.1865 - accuracy: 0.9448 - val_loss: 0.1466 - val_accuracy: 0.9576\n",
      "Epoch 3/5\n",
      "938/938 [==============================] - 5s 6ms/step - loss: 0.1498 - accuracy: 0.9563 - val_loss: 0.1217 - val_accuracy: 0.9645\n",
      "Epoch 4/5\n",
      "938/938 [==============================] - 5s 6ms/step - loss: 0.1365 - accuracy: 0.9600 - val_loss: 0.1147 - val_accuracy: 0.9646\n",
      "Epoch 5/5\n",
      "938/938 [==============================] - 5s 6ms/step - loss: 0.1217 - accuracy: 0.9654 - val_loss: 0.1393 - val_accuracy: 0.9598\n",
      "313/313 [==============================] - 1s 2ms/step - loss: 0.1393 - accuracy: 0.9598\n",
      "Test accuracy: 0.9598000049591064\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.keras import layers, models\n",
    "from tensorflow.keras.datasets import mnist\n",
    "from tensorflow.keras.utils import to_categorical\n",
    "\n",
    "# Load and preprocess MNIST data\n",
    "(train_images, train_labels), (test_images, test_labels) = mnist.load_data()\n",
    "train_images = train_images.reshape((60000, 28, 28)) / 255.0\n",
    "test_images = test_images.reshape((10000, 28, 28)) / 255.0\n",
    "\n",
    "train_labels = to_categorical(train_labels)\n",
    "test_labels = to_categorical(test_labels)\n",
    "\n",
    "# Define the RNN model\n",
    "model = models.Sequential()\n",
    "model.add(layers.SimpleRNN(128, input_shape=(28, 28)))\n",
    "model.add(layers.Dense(10, activation='softmax'))\n",
    "\n",
    "# Compile the model\n",
    "model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "# Train the model\n",
    "model.fit(train_images, train_labels, epochs=5, batch_size=64, validation_data=(test_images, test_labels))\n",
    "\n",
    "# Evaluate the model on test data\n",
    "test_loss, test_acc = model.evaluate(test_images, test_labels)\n",
    "print(f'Test accuracy: {test_acc}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313/313 [==============================] - 0s 2ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 7, Predicted Label: 7\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 2, Predicted Label: 2\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 1, Predicted Label: 1\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 0, Predicted Label: 0\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAGFCAYAAAASI+9IAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAIU0lEQVR4nO3cv6uXZQPH8fv7cOCEEpJIIC6HapA4RNRiEEiLhtGUgeBUQ39Aa03V1OBYc5NLtDXr4FaBwwEXc3HsB0KFQ+j3GYI3zyAP57rxe/t9Hl+v+Xy47uF43lyD12q9Xq8nAJim6V9P+gMA2B6iAEBEAYCIAgARBQAiCgBEFACIKACQncP+4Gq12uR3ALBhh/m/ym4KAEQUAIgoABBRACCiAEBEAYCIAgARBQAiCgBEFACIKAAQUQAgogBARAGAiAIAEQUAIgoARBQAiCgAEFEAIKIAQEQBgIgCABEFACIKAEQUAIgoABBRACCiAEBEAYCIAgARBQAiCgBEFACIKAAQUQAgogBARAGAiAIAEQUAIgoARBQAiCgAEFEAIKIAQEQBgIgCABEFACIKAEQUAIgoABBRACCiAEBEAYCIAgARBQAiCgBEFACIKAAQUQAgogBARAGAiAIAEQUAIgoAZOdJfwD/m1577bXhzXfffTfrrL29vVk75jl37tzw5tatW8Obu3fvDm/YPDcFACIKAEQUAIgoABBRACCiAEBEAYCIAgARBQAiCgBEFACIKAAQD+Ixy/nz54c3u7u7G/gSHrd33313ePPhhx8Oby5dujS8YfPcFACIKAAQUQAgogBARAGAiAIAEQUAIgoARBQAiCgAEFEAIKIAQDyIx7SzM/5rcOHChQ18Cdvgp59+Gt58/PHHw5ujR48Ob6Zpmv76669ZOw7HTQGAiAIAEQUAIgoARBQAiCgAEFEAIKIAQEQBgIgCABEFACIKAEQUAIhXUpneeuut4c0bb7wxvPnyyy+HNyzvueeeG968/PLLw5sjR44Mb6bJK6mb5qYAQEQBgIgCABEFACIKAEQUAIgoABBRACCiAEBEAYCIAgARBQCyWq/X60P94Gq16W/hMdjf3x/eXL9+fXjz22+/DW9ef/314c00TdOff/45a8c8c34f3nzzzeHNyZMnhzfTNE2//PLLrB3TdJg/924KAEQUAIgoABBRACCiAEBEAYCIAgARBQAiCgBEFACIKAAQUQAgO0/6A3i8Pv300+HN0aNHhzdvv/328MbDdss7fvz48Obs2bPDm4cPHw5v2E5uCgBEFACIKAAQUQAgogBARAGAiAIAEQUAIgoARBQAiCgAEFEAIB7E21IXL16ctbtw4cLw5vbt28ObH3/8cXjD8j755JPhzZzH7a5fvz68uXfv3vCGzXNTACCiAEBEAYCIAgARBQAiCgBEFACIKAAQUQAgogBARAGAiAIAEQUA4pXULfX+++/P2h05cmR489VXX806i2Xt7e0Nby5fvjy8efDgwfDmiy++GN78/fffwxs2z00BgIgCABEFACIKAEQUAIgoABBRACCiAEBEAYCIAgARBQAiCgDEg3gLOHbs2PDmzJkzG/iSR/v6668XO4v5Pvroo+HNiRMnhje3bt0a3ly7dm14w3ZyUwAgogBARAGAiAIAEQUAIgoARBQAiCgAEFEAIKIAQEQBgIgCAPEg3gJ2d3eHN6dOnZp11tWrV2ft2H4vvvjiIuccHBwscg7byU0BgIgCABEFACIKAEQUAIgoABBRACCiAEBEAYCIAgARBQAiCgDEg3gL+OOPP4Y3N2/enHXWK6+8Mrw5fvz48Ob3338f3vCP559/ftbu4sWLj/lLHu3GjRuLnMN2clMAIKIAQEQBgIgCABEFACIKAEQUAIgoABBRACCiAEBEAYCIAgDxIN4C7t+/P7z5+eefZ5313nvvDW++//774c2VK1eGN9tuf39/ePPCCy8Mb/b29oY30zRN6/V61m7Uw4cPFzmH7eSmAEBEAYCIAgARBQAiCgBEFACIKAAQUQAgogBARAGAiAIAEQUAIgoAZLU+5NOLq9Vq09/Cfzh9+vSs3WeffTa8eeedd4Y3u7u7w5tt9+uvvw5v5rxceuLEieHNNC33b/DZZ58d3sx5CZjlHeb31U0BgIgCABEFACIKAEQUAIgoABBRACCiAEBEAYCIAgARBQAiCgDEg3hMr7766vDmpZdeevwf8oR9++23i5zzzTffzNpdvnz5MX/Jo+3s7CxyDsvzIB4AQ0QBgIgCABEFACIKAEQUAIgoABBRACCiAEBEAYCIAgARBQDi5SummzdvLrLhH3fu3HnSn/Bf7e/vD28ODg428CU8CW4KAEQUAIgoABBRACCiAEBEAYCIAgARBQAiCgBEFACIKAAQUQAgHsSDha1Wq0V3ozxu93RzUwAgogBARAGAiAIAEQUAIgoARBQAiCgAEFEAIKIAQEQBgIgCAPEgHixsvV4vuoMRbgoARBQAiCgAEFEAIKIAQEQBgIgCABEFACIKAEQUAIgoABBRACCiAEC8kgoLe+aZZxY76/79+4udxf8HNwUAIgoARBQAiCgAEFEAIKIAQEQBgIgCABEFACIKAEQUAIgoABAP4sHCPvjgg1m7e/fuDW8+//zzWWfx9HJTACCiAEBEAYCIAgARBQAiCgBEFACIKAAQUQAgogBARAGAiAIA8SAeLOyHH36Ytbty5crw5tq1a7PO4unlpgBARAGAiAIAEQUAIgoARBQAiCgAEFEAIKIAQEQBgIgCABEFALJar9frQ/3garXpbwFggw7z595NAYCIAgARBQAiCgBEFACIKAAQUQAgogBARAGAiAIAEQUAIgoARBQAiCgAEFEAIKIAQEQBgIgCABEFACIKAEQUAIgoABBRACCiAEBEAYCIAgARBQAiCgBEFACIKAAQUQAgogBARAGAiAIAEQUAIgoARBQAiCgAEFEAIDuH/cH1er3J7wBgC7gpABBRACCiAEBEAYCIAgARBQAiCgBEFACIKACQfwP79NhZKEBpNQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 4, Predicted Label: 4\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 1, Predicted Label: 1\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 9, Predicted Label: 9\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 9, Predicted Label: 9\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 0, Predicted Label: 0\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 6, Predicted Label: 6\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 9, Predicted Label: 9\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 0, Predicted Label: 0\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 1, Predicted Label: 1\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 5, Predicted Label: 5\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 9, Predicted Label: 9\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 7, Predicted Label: 7\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 3, Predicted Label: 3\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Label: 4, Predicted Label: 4\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Predict labels for some test images\n",
    "predictions = model.predict(test_images)\n",
    "\n",
    "# Display a few images with actual and predicted labels\n",
    "num_images_to_display = 20\n",
    "\n",
    "for i in range(num_images_to_display):\n",
    "    # Print actual and predicted labels\n",
    "    actual_label = np.argmax(test_labels[i])\n",
    "    predicted_label = np.argmax(predictions[i])\n",
    "    if actual_label==predicted_label:\n",
    "        # Display the image\n",
    "        plt.imshow(test_images[i], cmap='gray')\n",
    "        plt.axis('off')\n",
    "        plt.show()\n",
    "        print(f\"Actual Label: {actual_label}, Predicted Label: {predicted_label}\\n\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot training history\n",
    "plt.figure(figsize=(12, 4))\n",
    "\n",
    "# Plot training & validation accuracy values\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.xlabel('Epoch')\n",
    "plt.ylabel('Accuracy')\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.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend(['Train', 'Test'], loc='upper left')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
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