{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyOehnmjHwkZWFPbUC+P8tIB"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"id":"i2FahhMir4Sh","executionInfo":{"status":"ok","timestamp":1763112449562,"user_tz":0,"elapsed":16942,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"outputs":[],"source":["# ------------------------------------------------------\n","# 1. Importing Libraries\n","# ------------------------------------------------------\n","\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import tensorflow as tf\n","from tensorflow.keras import datasets, layers, models\n","from tensorflow.keras.preprocessing.image import ImageDataGenerator\n","from sklearn.metrics import confusion_matrix, classification_report\n","import time"]},{"cell_type":"code","source":["import warnings\n","warnings.filterwarnings('ignore')"],"metadata":{"id":"W-57EN3esPvn","executionInfo":{"status":"ok","timestamp":1763112453985,"user_tz":0,"elapsed":5,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":2,"outputs":[]},{"cell_type":"markdown","source":["Load CIFAR-10 Dataset"],"metadata":{"id":"LKqpb9hQsSgP"}},{"cell_type":"code","source":["# CIFAR-10 contains 50,000 train and 10,000 test images\n","(X_train, y_train), (X_test, y_test) = datasets.cifar10.load_data()\n","\n","print(\"Training shape:\", X_train.shape)\n","print(\"Testing shape:\", X_test.shape)\n","print(\"Unique labels:\", np.unique(y_train))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"LiOUObmXsTDX","executionInfo":{"status":"ok","timestamp":1763112479345,"user_tz":0,"elapsed":6907,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"c799c8e8-0294-4349-8fea-ca5969eff9a4"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading data from https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\n","\u001b[1m170498071/170498071\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 0us/step\n","Training shape: (50000, 32, 32, 3)\n","Testing shape: (10000, 32, 32, 3)\n","Unique labels: [0 1 2 3 4 5 6 7 8 9]\n"]}]},{"cell_type":"markdown","source":["EDA – Basic Exploration"],"metadata":{"id":"xX05UzTSsXI7"}},{"cell_type":"code","source":["# Display dataset shape and label distribution\n","class_names = [\"airplane\", \"automobile\", \"bird\", \"cat\", \"deer\",\n","               \"dog\", \"frog\", \"horse\", \"ship\", \"truck\"]\n","\n","plt.figure(figsize=(10, 4))\n","sns.countplot(x=y_train.reshape(-1))\n","plt.title(\"Training Label Distribution\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":391},"id":"_VmO9n0psXpX","executionInfo":{"status":"ok","timestamp":1763112493711,"user_tz":0,"elapsed":391,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"a0e90141-48fe-40e1-ee39-de61562a1478"},"execution_count":4,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x400 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["Visualising Sample Images"],"metadata":{"id":"PlU8x13ksf5F"}},{"cell_type":"code","source":["plt.figure(figsize=(12, 6))\n","for i in range(10):\n","    plt.subplot(2, 5, i+1)\n","    plt.imshow(X_train[i])\n","    plt.title(class_names[int(y_train[i])])\n","    plt.axis(\"off\")\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":560},"id":"nUrHN1u3sev3","executionInfo":{"status":"ok","timestamp":1763112529040,"user_tz":0,"elapsed":614,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"c37683ec-2aa5-4a9b-a597-45ab83b13e9c"},"execution_count":5,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 10 Axes>"],"image/png":"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Pre-processing for Speed & Performance"],"metadata":{"id":"4dKy1nGoslPu"}},{"cell_type":"code","source":["# Normalisation (0–1 range makes training faster)\n","X_train = X_train.astype(\"float32\") / 255.0\n","X_test = X_test.astype(\"float32\") / 255.0"],"metadata":{"id":"_kNTObposlyr","executionInfo":{"status":"ok","timestamp":1763112549703,"user_tz":0,"elapsed":956,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["# One-hot encoding (needed for some models, optional for sparse CE)\n","y_train_cat = tf.keras.utils.to_categorical(y_train, 10)\n","y_test_cat = tf.keras.utils.to_categorical(y_test, 10)\n","\n","datagen = ImageDataGenerator(\n","    rotation_range=15,\n","    width_shift_range=0.1,\n","    height_shift_range=0.1,\n","    horizontal_flip=True,\n","    zoom_range=0.1\n",")\n","datagen.fit(X_train)"],"metadata":{"id":"gbbolZ2zspZv","executionInfo":{"status":"ok","timestamp":1763112563253,"user_tz":0,"elapsed":235,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":7,"outputs":[]},{"cell_type":"markdown","source":["Build a Simple but Effective CNN Model"],"metadata":{"id":"-pNoo6AdstIm"}},{"cell_type":"code","source":["model = models.Sequential([\n","\n","    layers.Conv2D(32, (3,3), activation='relu', padding='same', input_shape=(32, 32, 3)),\n","    layers.BatchNormalization(),\n","    layers.MaxPooling2D((2,2)),\n","\n","    layers.Conv2D(64, (3,3), activation='relu', padding='same'),\n","    layers.BatchNormalization(),\n","    layers.MaxPooling2D((2,2)),\n","\n","    layers.Conv2D(128, (3,3), activation='relu', padding='same'),\n","    layers.BatchNormalization(),\n","    layers.MaxPooling2D((2,2)),\n","\n","    layers.Flatten(),\n","    layers.Dense(256, activation='relu'),\n","    layers.Dropout(0.5),\n","    layers.Dense(10, activation='softmax')\n","])\n","\n","model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":619},"id":"svzUFdT0sqIR","executionInfo":{"status":"ok","timestamp":1763112581055,"user_tz":0,"elapsed":225,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"30c9f11f-745b-4edf-8c28-dfec2356cc03"},"execution_count":8,"outputs":[{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"sequential\"\u001b[0m\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ conv2d (\u001b[38;5;33mConv2D\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │           \u001b[38;5;34m896\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │           \u001b[38;5;34m128\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │        \u001b[38;5;34m18,496\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_1           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │           \u001b[38;5;34m256\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_1 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m64\u001b[0m)       │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_2 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m)      │        \u001b[38;5;34m73,856\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_2           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m)      │           \u001b[38;5;34m512\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_2 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m128\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ flatten (\u001b[38;5;33mFlatten\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m)           │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │       \u001b[38;5;34m524,544\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m)             │         \u001b[38;5;34m2,570\u001b[0m │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ conv2d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │           <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │           <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │        <span style=\"color: #00af00; text-decoration-color: #00af00\">18,496</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_1           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │           <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)       │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)      │        <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_2           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)      │           <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ flatten (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2048</span>)           │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">524,544</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">2,570</span> │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m621,258\u001b[0m (2.37 MB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">621,258</span> (2.37 MB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m620,810\u001b[0m (2.37 MB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">620,810</span> (2.37 MB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m448\u001b[0m (1.75 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">448</span> (1.75 KB)\n","</pre>\n"]},"metadata":{}}]},{"cell_type":"markdown","source":["Compile Model"],"metadata":{"id":"OUaCrJcTsxnG"}},{"cell_type":"code","source":["model.compile(\n","    optimizer=tf.keras.optimizers.Adam(learning_rate=0.001),\n","    loss='categorical_crossentropy',\n","    metrics=['accuracy']\n",")"],"metadata":{"id":"RGa_Rt5ksyBm","executionInfo":{"status":"ok","timestamp":1763112599653,"user_tz":0,"elapsed":4,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":10,"outputs":[]},{"cell_type":"markdown","source":["Train the Model"],"metadata":{"id":"90BwFXQvs2pn"}},{"cell_type":"code","source":["batch_size = 64\n","epochs = 10\n","\n","start_time = time.time()\n","\n","history = model.fit(\n","    datagen.flow(X_train, y_train_cat, batch_size=batch_size),\n","    epochs=epochs,\n","    validation_data=(X_test, y_test_cat),\n","    verbose=1\n",")\n","\n","print(\"Training time:\", time.time() - start_time, \"seconds\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"QDW8xdd4s3J_","executionInfo":{"status":"ok","timestamp":1763114561926,"user_tz":0,"elapsed":1939077,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"140c9b9d-fc10-47fb-88b8-65b1ffc6e713"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m194s\u001b[0m 242ms/step - accuracy: 0.3367 - loss: 1.9350 - val_accuracy: 0.5101 - val_loss: 1.3620\n","Epoch 2/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m193s\u001b[0m 247ms/step - accuracy: 0.5014 - loss: 1.3868 - val_accuracy: 0.5908 - val_loss: 1.1574\n","Epoch 3/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m188s\u001b[0m 240ms/step - accuracy: 0.5722 - loss: 1.2036 - val_accuracy: 0.6203 - val_loss: 1.1206\n","Epoch 4/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m202s\u001b[0m 240ms/step - accuracy: 0.6095 - loss: 1.1065 - val_accuracy: 0.6681 - val_loss: 0.9855\n","Epoch 5/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m204s\u001b[0m 243ms/step - accuracy: 0.6443 - loss: 1.0220 - val_accuracy: 0.6861 - val_loss: 0.9234\n","Epoch 6/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m187s\u001b[0m 239ms/step - accuracy: 0.6697 - loss: 0.9668 - val_accuracy: 0.7067 - val_loss: 0.9049\n","Epoch 7/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m202s\u001b[0m 239ms/step - accuracy: 0.6824 - loss: 0.9281 - val_accuracy: 0.6550 - val_loss: 1.0383\n","Epoch 8/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m187s\u001b[0m 240ms/step - accuracy: 0.6973 - loss: 0.8898 - val_accuracy: 0.7177 - val_loss: 0.8394\n","Epoch 9/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m188s\u001b[0m 240ms/step - accuracy: 0.7064 - loss: 0.8496 - val_accuracy: 0.7085 - val_loss: 0.8650\n","Epoch 10/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m195s\u001b[0m 231ms/step - accuracy: 0.7172 - loss: 0.8250 - val_accuracy: 0.7232 - val_loss: 0.8191\n","Training time: 1939.4155189990997 seconds\n"]}]},{"cell_type":"markdown","source":["Plot Accuracy and Loss Curves"],"metadata":{"id":"1uy47fENxjFk"}},{"cell_type":"code","source":["plt.figure(figsize=(12,5))\n","\n","plt.subplot(1,2,1)\n","plt.plot(history.history[\"accuracy\"], label=\"Train Accuracy\")\n","plt.plot(history.history[\"val_accuracy\"], label=\"Validation Accuracy\")\n","plt.title(\"Accuracy Curve\")\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Accuracy\")\n","plt.legend()\n","\n","plt.subplot(1,2,2)\n","plt.plot(history.history[\"loss\"], label=\"Train Loss\")\n","plt.plot(history.history[\"val_loss\"], label=\"Validation Loss\")\n","plt.title(\"Loss Curve\")\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Loss\")\n","plt.legend()\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"id":"B8JG5fS2xhly","executionInfo":{"status":"ok","timestamp":1763114562494,"user_tz":0,"elapsed":460,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"2bc271c1-20be-4b65-b58f-b55924709d4d"},"execution_count":12,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x500 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["Evaluate Model"],"metadata":{"id":"pSF9TswZxpGL"}},{"cell_type":"code","source":["test_loss, test_acc = model.evaluate(X_test, y_test_cat, verbose=0)\n","print(f\"Test Accuracy: {test_acc:.4f}\")\n","print(f\"Test Loss: {test_loss:.4f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"FqvDcmNYxoxH","executionInfo":{"status":"ok","timestamp":1763114571142,"user_tz":0,"elapsed":8468,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"6f380aa6-adbd-4c63-b493-aa866e495ace"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["Test Accuracy: 0.7232\n","Test Loss: 0.8191\n"]}]},{"cell_type":"markdown","source":["Confusion Matrix & Classification Report"],"metadata":{"id":"50LaL7MzxyTo"}},{"cell_type":"code","source":["y_pred = model.predict(X_test)\n","y_pred_classes = np.argmax(y_pred, axis=1)\n","y_true = y_test.reshape(-1)\n","\n","# Generate confusion matrix\n","cm = confusion_matrix(y_true, y_pred_classes)\n","\n","# Plot confusion matrix\n","plt.figure(figsize=(12, 10))\n","sns.heatmap(cm,\n","            annot=True,        # Show actual numbers\n","            fmt=\"d\",           # Format as integer\n","            cmap=\"Blues\",\n","            xticklabels=class_names,\n","            yticklabels=class_names)\n","\n","plt.title(\"Confusion Matrix (CIFAR-10)\", fontsize=16)\n","plt.xlabel(\"Predicted\", fontsize=14)\n","plt.ylabel(\"True\", fontsize=14)\n","plt.xticks(rotation=45)\n","plt.yticks(rotation=45)\n","plt.tight_layout()\n","plt.show()\n","\n","print(classification_report(y_true, y_pred_classes, target_names=class_names))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"6s88PhwDx0Be","executionInfo":{"status":"ok","timestamp":1763114605908,"user_tz":0,"elapsed":11117,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"fe27423c-5cd2-4024-bdc4-a2cb2a54d311"},"execution_count":14,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 22ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x1000 with 2 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","    airplane       0.73      0.85      0.79      1000\n","  automobile       0.71      0.97      0.82      1000\n","        bird       0.73      0.57      0.64      1000\n","         cat       0.67      0.37      0.48      1000\n","        deer       0.76      0.62      0.68      1000\n","         dog       0.75      0.51      0.61      1000\n","        frog       0.61      0.91      0.73      1000\n","       horse       0.64      0.88      0.74      1000\n","        ship       0.90      0.79      0.84      1000\n","       truck       0.85      0.76      0.80      1000\n","\n","    accuracy                           0.72     10000\n","   macro avg       0.74      0.72      0.71     10000\n","weighted avg       0.74      0.72      0.71     10000\n","\n"]}]},{"cell_type":"markdown","source":["Show Misclassified Examples"],"metadata":{"id":"IDuZRfHZx6gK"}},{"cell_type":"code","source":["misclassified_idx = np.where(y_pred_classes != y_true)[0][:10]\n","\n","plt.figure(figsize=(15,6))\n","for i, idx in enumerate(misclassified_idx):\n","    plt.subplot(2,5,i+1)\n","    plt.imshow(X_test[idx])\n","    plt.title(f\"True: {class_names[y_true[idx]]}\\nPred: {class_names[y_pred_classes[idx]]}\")\n","    plt.axis(\"off\")\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":509},"id":"wPR7Ds49x3Ka","executionInfo":{"status":"ok","timestamp":1763114610725,"user_tz":0,"elapsed":574,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"afcd8963-7623-4647-90d3-eb6a9ca74215"},"execution_count":15,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x600 with 10 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Neural Network (ANN) Model"],"metadata":{"id":"hRObNWYex_Gt"}},{"cell_type":"code","source":["import tensorflow as tf\n","from tensorflow.keras import layers, models\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from sklearn.metrics import confusion_matrix, classification_report\n","import numpy as np\n","\n","# CIFAR-10 class names\n","class_names = [\"airplane\", \"automobile\", \"bird\", \"cat\", \"deer\",\n","               \"dog\", \"frog\", \"horse\", \"ship\", \"truck\"]\n","\n","# Flatten the input images for ANN\n","X_train_flat = X_train.reshape(X_train.shape[0], -1)\n","X_test_flat = X_test.reshape(X_test.shape[0], -1)\n","\n","print(\"Flattened shape:\", X_train_flat.shape)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5NrjHCQJx_g6","executionInfo":{"status":"ok","timestamp":1763114615310,"user_tz":0,"elapsed":1267,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"b1213ae7-cbbe-4506-eb67-d3d2461fad92"},"execution_count":16,"outputs":[{"output_type":"stream","name":"stdout","text":["Flattened shape: (50000, 3072)\n"]}]},{"cell_type":"code","source":["# Build ANN model\n","ann_model = models.Sequential([\n","    layers.Dense(512, activation='relu', input_shape=(32*32*3,)),\n","    layers.Dropout(0.4),\n","    layers.Dense(256, activation='relu'),\n","    layers.Dropout(0.3),\n","    layers.Dense(128, activation='relu'),\n","    layers.Dense(10, activation='softmax')\n","])\n","\n","ann_model.compile(\n","    optimizer='adam',\n","    loss='sparse_categorical_crossentropy',\n","    metrics=['accuracy']\n",")"],"metadata":{"id":"LZDJ7KMgyCU6","executionInfo":{"status":"ok","timestamp":1763114618890,"user_tz":0,"elapsed":76,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":17,"outputs":[]},{"cell_type":"code","source":["ann_model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":335},"id":"tzKTRJnzyGY-","executionInfo":{"status":"ok","timestamp":1763114620576,"user_tz":0,"elapsed":52,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"a4af7f67-7cfb-4094-f637-2d6d6aeacd22"},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"sequential_1\"\u001b[0m\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_1\"</span>\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ dense_2 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │     \u001b[38;5;34m1,573,376\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_3 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │       \u001b[38;5;34m131,328\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_4 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │        \u001b[38;5;34m32,896\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_5 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m)             │         \u001b[38;5;34m1,290\u001b[0m │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,573,376</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">131,328</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │        <span style=\"color: #00af00; text-decoration-color: #00af00\">32,896</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,290</span> │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,738,890\u001b[0m (6.63 MB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,738,890</span> (6.63 MB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,738,890\u001b[0m (6.63 MB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,738,890</span> (6.63 MB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n","</pre>\n"]},"metadata":{}}]},{"cell_type":"code","source":["ann_history = ann_model.fit(\n","    X_train_flat, y_train,\n","    epochs=10,\n","    batch_size=64,\n","    validation_data=(X_test_flat, y_test),\n","    verbose=1\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ukqg7HDXyIsA","executionInfo":{"status":"ok","timestamp":1763114943089,"user_tz":0,"elapsed":319834,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"3f387f17-81bd-402d-e080-4082892aab31"},"execution_count":19,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 35ms/step - accuracy: 0.1840 - loss: 2.1868 - val_accuracy: 0.2697 - val_loss: 1.9547\n","Epoch 2/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 33ms/step - accuracy: 0.2478 - loss: 1.9855 - val_accuracy: 0.3100 - val_loss: 1.9029\n","Epoch 3/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m39s\u001b[0m 30ms/step - accuracy: 0.2708 - loss: 1.9461 - val_accuracy: 0.3033 - val_loss: 1.9053\n","Epoch 4/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 31ms/step - accuracy: 0.2907 - loss: 1.9089 - val_accuracy: 0.3471 - val_loss: 1.8570\n","Epoch 5/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 32ms/step - accuracy: 0.3020 - loss: 1.8861 - val_accuracy: 0.3475 - val_loss: 1.8198\n","Epoch 6/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m24s\u001b[0m 30ms/step - accuracy: 0.3046 - loss: 1.8782 - val_accuracy: 0.3586 - val_loss: 1.8111\n","Epoch 7/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 32ms/step - accuracy: 0.3229 - loss: 1.8486 - val_accuracy: 0.3543 - val_loss: 1.8321\n","Epoch 8/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 32ms/step - accuracy: 0.3215 - loss: 1.8460 - val_accuracy: 0.3737 - val_loss: 1.7977\n","Epoch 9/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m42s\u001b[0m 33ms/step - accuracy: 0.3257 - loss: 1.8292 - val_accuracy: 0.3700 - val_loss: 1.7734\n","Epoch 10/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 32ms/step - accuracy: 0.3351 - loss: 1.8109 - val_accuracy: 0.3770 - val_loss: 1.7939\n"]}]},{"cell_type":"code","source":["# Accuracy and Loss Plots\n","plt.figure(figsize=(12,5))\n","\n","plt.subplot(1,2,1)\n","plt.plot(ann_history.history[\"accuracy\"], label=\"Train Accuracy\")\n","plt.plot(ann_history.history[\"val_accuracy\"], label=\"Validation Accuracy\")\n","plt.legend()\n","plt.title(\"ANN Accuracy\")\n","\n","plt.subplot(1,2,2)\n","plt.plot(ann_history.history[\"loss\"], label=\"Train Loss\")\n","plt.plot(ann_history.history[\"val_loss\"], label=\"Validation Loss\")\n","plt.legend()\n","plt.title(\"ANN Loss\")\n","\n","plt.show()\n","\n","# Evaluation\n","ann_test_loss, ann_test_acc = ann_model.evaluate(X_test_flat, y_test)\n","print(\"ANN Test Accuracy:\", ann_test_acc)\n","\n","# Confusion Matrix\n","ann_y_pred = np.argmax(ann_model.predict(X_test_flat), axis=1)\n","cm_ann = confusion_matrix(y_test.reshape(-1), ann_y_pred)\n","\n","plt.figure(figsize=(12, 10))\n","sns.heatmap(cm_ann, annot=True, fmt='d', cmap='Blues',\n","            xticklabels=class_names, yticklabels=class_names)\n","plt.title(\"ANN Confusion Matrix\")\n","plt.xlabel(\"Predicted\")\n","plt.ylabel(\"True\")\n","plt.show()\n","\n","from sklearn.metrics import classification_report\n","\n","# Classification Report\n","print(\"Classification Report for ANN Model:\\n\")\n","print(classification_report(y_test.reshape(-1), ann_y_pred, target_names=class_names))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"89WIUFHlyL2i","executionInfo":{"status":"ok","timestamp":1763114949358,"user_tz":0,"elapsed":6266,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"98e171fa-063d-435c-d852-f70ba5547fd6"},"execution_count":20,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x500 with 2 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 7ms/step - accuracy: 0.3825 - loss: 1.7912\n","ANN Test Accuracy: 0.37700000405311584\n","\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 8ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x1000 with 2 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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Classification Report for ANN Model:\n","\n","              precision    recall  f1-score   support\n","\n","    airplane       0.65      0.23      0.34      1000\n","  automobile       0.59      0.40      0.48      1000\n","        bird       0.22      0.09      0.13      1000\n","         cat       0.26      0.14      0.18      1000\n","        deer       0.29      0.49      0.36      1000\n","         dog       0.43      0.31      0.36      1000\n","        frog       0.33      0.56      0.41      1000\n","       horse       0.34      0.55      0.42      1000\n","        ship       0.50      0.45      0.47      1000\n","       truck       0.40      0.56      0.46      1000\n","\n","    accuracy                           0.38     10000\n","   macro avg       0.40      0.38      0.36     10000\n","weighted avg       0.40      0.38      0.36     10000\n","\n"]}]},{"cell_type":"markdown","source":["Recurrent Neural Network (RNN) Model"],"metadata":{"id":"93OLLIPAyRZo"}},{"cell_type":"code","source":["# Reshape image data into sequence format for RNN\n","X_train_seq = X_train.reshape((X_train.shape[0], 32, 32*3))\n","X_test_seq = X_test.reshape((X_test.shape[0], 32, 32*3))\n","\n","print(\"RNN input shape:\", X_train_seq.shape)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HG0Xib9GyRGo","executionInfo":{"status":"ok","timestamp":1763114950129,"user_tz":0,"elapsed":766,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"7c743b62-00e4-46bb-806c-e910489c4945"},"execution_count":21,"outputs":[{"output_type":"stream","name":"stdout","text":["RNN input shape: (50000, 32, 96)\n"]}]},{"cell_type":"code","source":["# Build RNN model using LSTM\n","rnn_model = models.Sequential([\n","    layers.LSTM(128, return_sequences=True, input_shape=(32, 32*3)),\n","    layers.LSTM(64),\n","    layers.Dense(64, activation='relu'),\n","    layers.Dense(10, activation='softmax')\n","])\n","\n","rnn_model.compile(\n","    optimizer='adam',\n","    loss='sparse_categorical_crossentropy',\n","    metrics=['accuracy']\n",")"],"metadata":{"id":"b7KDsB1QyVox","executionInfo":{"status":"ok","timestamp":1763114950194,"user_tz":0,"elapsed":20,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":22,"outputs":[]},{"cell_type":"code","source":["rnn_history = rnn_model.fit(\n","    X_train_seq, y_train,\n","    epochs=10,\n","    batch_size=64,\n","    validation_data=(X_test_seq, y_test),\n","    verbose=1\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5raWPkHMyYGm","executionInfo":{"status":"ok","timestamp":1763115746799,"user_tz":0,"elapsed":796603,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"5e6435dd-de0f-46c5-b722-8012b2d5e013"},"execution_count":23,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m78s\u001b[0m 96ms/step - accuracy: 0.2765 - loss: 1.9594 - val_accuracy: 0.3997 - val_loss: 1.6434\n","Epoch 2/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m86s\u001b[0m 102ms/step - accuracy: 0.4186 - loss: 1.6046 - val_accuracy: 0.4401 - val_loss: 1.5538\n","Epoch 3/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m77s\u001b[0m 95ms/step - accuracy: 0.4699 - loss: 1.4698 - val_accuracy: 0.4908 - val_loss: 1.3946\n","Epoch 4/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m82s\u001b[0m 95ms/step - accuracy: 0.5077 - loss: 1.3672 - val_accuracy: 0.5116 - val_loss: 1.3540\n","Epoch 5/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m75s\u001b[0m 95ms/step - accuracy: 0.5359 - loss: 1.2755 - val_accuracy: 0.5372 - val_loss: 1.2669\n","Epoch 6/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m77s\u001b[0m 99ms/step - accuracy: 0.5638 - loss: 1.2054 - val_accuracy: 0.5606 - val_loss: 1.2247\n","Epoch 7/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m78s\u001b[0m 100ms/step - accuracy: 0.5866 - loss: 1.1444 - val_accuracy: 0.5736 - val_loss: 1.1955\n","Epoch 8/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m82s\u001b[0m 104ms/step - accuracy: 0.6093 - loss: 1.0915 - val_accuracy: 0.5687 - val_loss: 1.1939\n","Epoch 9/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m77s\u001b[0m 99ms/step - accuracy: 0.6232 - loss: 1.0471 - val_accuracy: 0.5799 - val_loss: 1.1772\n","Epoch 10/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m83s\u001b[0m 106ms/step - accuracy: 0.6387 - loss: 1.0062 - val_accuracy: 0.5849 - val_loss: 1.1738\n"]}]},{"cell_type":"code","source":["# Accuracy and Loss Plots\n","plt.figure(figsize=(12,5))\n","\n","plt.subplot(1,2,1)\n","plt.plot(rnn_history.history[\"accuracy\"], label=\"Train Accuracy\")\n","plt.plot(rnn_history.history[\"val_accuracy\"], label=\"Validation Accuracy\")\n","plt.legend()\n","plt.title(\"RNN Accuracy\")\n","\n","plt.subplot(1,2,2)\n","plt.plot(rnn_history.history[\"loss\"], label=\"Train Loss\")\n","plt.plot(rnn_history.history[\"val_loss\"], label=\"Validation Loss\")\n","plt.legend()\n","plt.title(\"RNN Loss\")\n","\n","plt.show()\n","\n","# Evaluation\n","rnn_test_loss, rnn_test_acc = rnn_model.evaluate(X_test_seq, y_test)\n","print(\"RNN Test Accuracy:\", rnn_test_acc)\n","\n","# Confusion Matrix\n","rnn_y_pred = np.argmax(rnn_model.predict(X_test_seq), axis=1)\n","cm_rnn = confusion_matrix(y_test.reshape(-1), rnn_y_pred)\n","\n","plt.figure(figsize=(12, 10))\n","sns.heatmap(cm_rnn, annot=True, fmt='d', cmap='Blues',\n","            xticklabels=class_names, yticklabels=class_names)\n","plt.title(\"RNN Confusion Matrix\")\n","plt.xlabel(\"Predicted\")\n","plt.ylabel(\"True\")\n","plt.show()\n","\n","from sklearn.metrics import classification_report\n","\n","# Classification Report for RNN\n","print(\"Classification Report for RNN Model:\\n\")\n","print(classification_report(y_test.reshape(-1), rnn_y_pred, target_names=class_names))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"wYKDke8QyaoF","executionInfo":{"status":"ok","timestamp":1763115763727,"user_tz":0,"elapsed":16882,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"65099560-506f-4657-8dbb-0ac706b97a3d"},"execution_count":24,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x500 with 2 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 24ms/step - accuracy: 0.5813 - loss: 1.1738\n","RNN Test Accuracy: 0.5849000215530396\n","\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 20ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x1000 with 2 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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Classification Report for RNN Model:\n","\n","              precision    recall  f1-score   support\n","\n","    airplane       0.66      0.64      0.65      1000\n","  automobile       0.65      0.80      0.71      1000\n","        bird       0.50      0.38      0.43      1000\n","         cat       0.43      0.36      0.39      1000\n","        deer       0.47      0.60      0.52      1000\n","         dog       0.46      0.49      0.47      1000\n","        frog       0.64      0.63      0.63      1000\n","       horse       0.65      0.62      0.64      1000\n","        ship       0.74      0.71      0.72      1000\n","       truck       0.65      0.63      0.64      1000\n","\n","    accuracy                           0.58     10000\n","   macro avg       0.58      0.58      0.58     10000\n","weighted avg       0.58      0.58      0.58     10000\n","\n"]}]},{"cell_type":"markdown","source":["Improved CNN Model"],"metadata":{"id":"N2-eZSftypA1"}},{"cell_type":"code","source":["from tensorflow.keras import layers, models\n","\n","better_model = models.Sequential([\n","\n","    # Block 1\n","    layers.Conv2D(64, (3,3), padding='same', activation='relu', input_shape=(32, 32, 3)),\n","    layers.BatchNormalization(),\n","    layers.Conv2D(64, (3,3), padding='same', activation='relu'),\n","    layers.BatchNormalization(),\n","    layers.MaxPooling2D((2,2)),\n","    layers.Dropout(0.25),\n","\n","    # Block 2\n","    layers.Conv2D(128, (3,3), padding='same', activation='relu'),\n","    layers.BatchNormalization(),\n","    layers.Conv2D(128, (3,3), padding='same', activation='relu'),\n","    layers.BatchNormalization(),\n","    layers.MaxPooling2D((2,2)),\n","    layers.Dropout(0.25),\n","\n","    # Block 3\n","    layers.Conv2D(256, (3,3), padding='same', activation='relu'),\n","    layers.BatchNormalization(),\n","    layers.Conv2D(256, (3,3), padding='same', activation='relu'),\n","    layers.BatchNormalization(),\n","    layers.MaxPooling2D((2,2)),\n","    layers.Dropout(0.25),\n","\n","    # Global Average Pooling instead of Flatten\n","    layers.GlobalAveragePooling2D(),\n","\n","    # Dense layers\n","    layers.Dense(256, activation='relu'),\n","    layers.BatchNormalization(),\n","    layers.Dropout(0.5),\n","\n","    layers.Dense(10, activation='softmax')\n","])\n","\n","better_model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"Cz-Fnp_YyhmV","executionInfo":{"status":"ok","timestamp":1763115764290,"user_tz":0,"elapsed":329,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}},"outputId":"ffbe1d17-ad09-4bf7-c33b-b95c7c3dabd1"},"execution_count":25,"outputs":[{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"sequential_3\"\u001b[0m\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_3\"</span>\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ conv2d_3 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │         \u001b[38;5;34m1,792\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_3           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │           \u001b[38;5;34m256\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_4 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │        \u001b[38;5;34m36,928\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_4           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │           \u001b[38;5;34m256\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_3 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_3 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_5 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │        \u001b[38;5;34m73,856\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_5           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │           \u001b[38;5;34m512\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_6 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │       \u001b[38;5;34m147,584\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_6           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │           \u001b[38;5;34m512\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_4 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_4 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_7 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m256\u001b[0m)      │       \u001b[38;5;34m295,168\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_7           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m256\u001b[0m)      │         \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_8 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m256\u001b[0m)      │       \u001b[38;5;34m590,080\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_8           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m256\u001b[0m)      │         \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_5 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m256\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_5 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m256\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ global_average_pooling2d        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)        │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_8 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │        \u001b[38;5;34m65,792\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_9           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │         \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_6 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_9 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m)             │         \u001b[38;5;34m2,570\u001b[0m │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ conv2d_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,792</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_3           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │           <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │        <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_4           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │           <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_5           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │           <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_6           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │           <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_7 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)      │       <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_7           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)      │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ conv2d_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)      │       <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_8           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)      │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ global_average_pooling2d        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)        │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │        <span style=\"color: #00af00; text-decoration-color: #00af00\">65,792</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ batch_normalization_9           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_9 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">2,570</span> │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,218,378\u001b[0m (4.65 MB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,218,378</span> (4.65 MB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,216,074\u001b[0m (4.64 MB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,216,074</span> (4.64 MB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,304\u001b[0m (9.00 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,304</span> (9.00 KB)\n","</pre>\n"]},"metadata":{}}]},{"cell_type":"code","source":["better_model.compile(\n","    optimizer=tf.keras.optimizers.Adam(learning_rate=0.0008),\n","    loss='categorical_crossentropy',\n","    metrics=['accuracy']\n",")"],"metadata":{"id":"z9pBTr10yqkI","executionInfo":{"status":"aborted","timestamp":1763116414649,"user_tz":0,"elapsed":5441,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["better_history = better_model.fit(\n","    datagen.flow(X_train, y_train_cat, batch_size=64),\n","    epochs=10,\n","    validation_data=(X_test, y_test_cat),\n","    verbose=1\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"D2rgBObzyuTM","outputId":"b22342af-5ab1-43a3-c7c8-43f270bd2c10"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1336s\u001b[0m 2s/step - accuracy: 0.4986 - loss: 1.4165 - val_accuracy: 0.5682 - val_loss: 1.2421\n","Epoch 2/10\n","\u001b[1m782/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1316s\u001b[0m 2s/step - accuracy: 0.6399 - loss: 1.0255 - val_accuracy: 0.6694 - val_loss: 0.9706\n","Epoch 3/10\n","\u001b[1m781/782\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m1s\u001b[0m 2s/step - accuracy: 0.7038 - loss: 0.8496"]}]},{"cell_type":"code","source":["plt.figure(figsize=(12,5))\n","\n","# Accuracy\n","plt.subplot(1,2,1)\n","plt.plot(better_history.history['accuracy'], label='Train Accuracy')\n","plt.plot(better_history.history['val_accuracy'], label='Validation Accuracy')\n","plt.title('Improved CNN Accuracy')\n","plt.legend()\n","\n","# Loss\n","plt.subplot(1,2,2)\n","plt.plot(better_history.history['loss'], label='Train Loss')\n","plt.plot(better_history.history['val_loss'], label='Validation Loss')\n","plt.title('Improved CNN Loss')\n","plt.legend()\n","\n","plt.show()"],"metadata":{"id":"MXCrWxkryxF_","executionInfo":{"status":"aborted","timestamp":1763116414601,"user_tz":0,"elapsed":6,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["better_y_pred = np.argmax(better_model.predict(X_test), axis=1)\n","cm_better = confusion_matrix(y_test.reshape(-1), better_y_pred)\n","\n","plt.figure(figsize=(12, 10))\n","sns.heatmap(cm_better, annot=True, fmt='d',\n","            cmap='Blues', xticklabels=class_names, yticklabels=class_names)\n","plt.title(\"Improved CNN Confusion Matrix\")\n","plt.xlabel(\"Predicted\")\n","plt.ylabel(\"True\")\n","plt.show()\n","\n","print(classification_report(y_test.reshape(-1), better_y_pred, target_names=class_names))"],"metadata":{"id":"86Wp0bVRyzCP","executionInfo":{"status":"aborted","timestamp":1763116414605,"user_tz":0,"elapsed":6,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# -------------------------------------------------------------\n","# TEST MODEL ON MULTIPLE IMAGES\n","# -------------------------------------------------------------\n","plt.figure(figsize=(12,6))\n","for i in range(5):\n","    idx = np.random.randint(0, len(X_test))\n","    img = X_test[idx]\n","    pred = better_model.predict(img.reshape(1,32,32,3))\n","    pred_class = class_names[np.argmax(pred)]\n","    true_class = class_names[int(y_true[idx])]\n","\n","    plt.subplot(1,5,i+1)\n","    plt.imshow(img)\n","    plt.title(f\"P:{pred_class}\\nT:{true_class}\")\n","    plt.axis('off')\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"id":"eOgRA8Wty1kh","executionInfo":{"status":"aborted","timestamp":1763116414611,"user_tz":0,"elapsed":650864,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Comparison"],"metadata":{"id":"MWkgcCYVy31O"}},{"cell_type":"code","source":["# Baseline CNN predictions\n","cnn_pred = np.argmax(model.predict(X_test), axis=1)\n","cnn_acc = accuracy_score(y_test.reshape(-1), cnn_pred)\n","\n","# ANN predictions\n","ann_pred = np.argmax(ann_model.predict(X_test_flat), axis=1)\n","ann_acc = accuracy_score(y_test.reshape(-1), ann_pred)\n","\n","# RNN predictions\n","rnn_pred = np.argmax(rnn_model.predict(X_test_seq), axis=1)\n","rnn_acc = accuracy_score(y_test.reshape(-1), rnn_pred)\n","\n","# Improved CNN predictions\n","better_pred = np.argmax(better_model.predict(X_test), axis=1)\n","better_acc = accuracy_score(y_test.reshape(-1), better_pred)\n","\n","print(\"\\n===== MODEL ACCURACY COMPARISON =====\")\n","print(f\"ANN Accuracy:           {ann_acc:.4f}\")\n","print(f\"RNN Accuracy:           {rnn_acc:.4f}\")\n","print(f\"CNN Accuracy:           {cnn_acc:.4f}\")\n","print(f\"Improved CNN Accuracy:  {better_acc:.4f}\")\n","\n","model_names = [\"ANN\", \"RNN\", \"CNN\", \"Improved CNN\"]\n","accuracies = [ann_acc, rnn_acc, cnn_acc, better_acc]\n","\n","# Print results in table format\n","results = dict(zip(model_names, accuracies))\n","print(\"\\nModel Performances:\")\n","for k, v in results.items():\n","    print(f\"{k}: {v:.4f}\")\n","\n","# Bar chart\n","plt.figure(figsize=(10,6))\n","sns.barplot(x=model_names, y=accuracies, palette=\"viridis\")\n","plt.title(\"Model Accuracy Comparison on CIFAR-10\", fontsize=16)\n","plt.ylabel(\"Accuracy\")\n","plt.ylim(0, 1)\n","plt.grid(axis='y', linestyle='--', alpha=0.7)\n","plt.show()"],"metadata":{"id":"jtdi14sNy8M8","executionInfo":{"status":"aborted","timestamp":1763116414618,"user_tz":0,"elapsed":650868,"user":{"displayName":"Patel Shivam","userId":"17668739110627672419"}}},"execution_count":null,"outputs":[]}]}