{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","mount_file_id":"1IgfN02mS-A1CSxvI8bpgmPWNJn7YbXC1","authorship_tag":"ABX9TyP3GbxtmLdLaCQw4l+yyCxZ"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"markdown","source":["# Stage 1 – Setup & Imports"],"metadata":{"id":"qignN5kgz5k5"}},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"R7T4-HSRsUwp","executionInfo":{"status":"ok","timestamp":1762953771063,"user_tz":0,"elapsed":9808,"user":{"displayName":"shanto Been","userId":"01810622944139423972"}},"outputId":"a79099b8-2707-4888-af63-a3f3194b1c13"},"outputs":[{"output_type":"stream","name":"stdout","text":["TensorFlow version: 2.19.0\n"]}],"source":["import tensorflow as tf\n","from tensorflow.keras import datasets, layers, models\n","from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint\n","from sklearn.metrics import classification_report, confusion_matrix\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import numpy as np\n","\n","\n","print(\"TensorFlow version:\", tf.__version__)\n"]},{"cell_type":"markdown","source":["# Stage 2 – Load and Pre-process CIFAR-10"],"metadata":{"id":"FZiJRPqV0B3i"}},{"cell_type":"code","source":["(x_train, y_train), (x_test, y_test) = datasets.cifar10.load_data()\n","x_train, x_test = x_train / 255.0, x_test / 255.0\n","y_train = y_train.flatten()\n","y_test  = y_test.flatten()\n","\n","class_names = ['airplane','automobile','bird','cat','deer',\n","               'dog','frog','horse','ship','truck']\n","\n","plt.figure(figsize=(8,8))\n","for i in range(9):\n","    plt.subplot(3,3,i+1)\n","    plt.imshow(x_train[i])\n","    plt.title(class_names[y_train[i]])\n","    plt.axis('off')\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":710},"id":"Q29yhFnJsn2_","executionInfo":{"status":"ok","timestamp":1762953778124,"user_tz":0,"elapsed":7093,"user":{"displayName":"shanto Been","userId":"01810622944139423972"}},"outputId":"af7342a1-e2dd-4b60-d9b7-5ad825850de1"},"execution_count":2,"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"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x800 with 9 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# Stage 3 – Build the CNN"],"metadata":{"id":"aJr4PNH80S6y"}},{"cell_type":"code","source":["import tensorflow as tf\n","\n","model = tf.keras.models.Sequential([\n","    tf.keras.layers.Conv2D(32,(3,3),activation='relu',input_shape=(32,32,3)),\n","    tf.keras.layers.MaxPooling2D((2,2)),\n","\n","    tf.keras.layers.Conv2D(64,(3,3),activation='relu'),\n","    tf.keras.layers.MaxPooling2D((2,2)),\n","\n","    tf.keras.layers.Conv2D(64,(3,3),activation='relu'),\n","\n","    tf.keras.layers.Flatten(),\n","    tf.keras.layers.Dense(64,activation='relu'),\n","    tf.keras.layers.Dropout(0.5),\n","    tf.keras.layers.Dense(10,activation='softmax')\n","])\n","\n","model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":497},"id":"d6jH6YmRsxRU","executionInfo":{"status":"ok","timestamp":1762953781135,"user_tz":0,"elapsed":2971,"user":{"displayName":"shanto Been","userId":"01810622944139423972"}},"outputId":"890bdfb9-d078-40d9-cb0d-4a610835914a"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/keras/src/layers/convolutional/base_conv.py:113: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n","  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"]},{"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;34m30\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │           \u001b[38;5;34m896\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m15\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;34m13\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │        \u001b[38;5;34m18,496\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ max_pooling2d_1 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\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;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m64\u001b[0m)       │        \u001b[38;5;34m36,928\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ flatten (\u001b[38;5;33mFlatten\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\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;34m64\u001b[0m)             │        \u001b[38;5;34m65,600\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\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;34m650\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\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │           <span style=\"color: #00af00; text-decoration-color: #00af00\">896</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\">15</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">15</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\">13</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">13</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │        <span style=\"color: #00af00; text-decoration-color: #00af00\">18,496</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\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6</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\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)       │        <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</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\">1024</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\">64</span>)             │        <span style=\"color: #00af00; text-decoration-color: #00af00\">65,600</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\">64</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\">650</span> │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m122,570\u001b[0m (478.79 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\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">122,570</span> (478.79 KB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m122,570\u001b[0m (478.79 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\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">122,570</span> (478.79 KB)\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":"markdown","source":["# Stage 4 – Compile the Model"],"metadata":{"id":"Btt5ZcQp0p-l"}},{"cell_type":"code","source":["model.compile(optimizer='adam',\n","              loss='sparse_categorical_crossentropy',\n","              metrics=['accuracy'])\n"],"metadata":{"id":"HIfglgKLthrT","executionInfo":{"status":"ok","timestamp":1762953781140,"user_tz":0,"elapsed":2,"user":{"displayName":"shanto Been","userId":"01810622944139423972"}}},"execution_count":4,"outputs":[]},{"cell_type":"markdown","source":["\n","# Stage 5 – Train (50 Epochs + Early Stopping + Checkpoint)"],"metadata":{"id":"V2mGyyF703Fg"}},{"cell_type":"code","source":["early_stop = EarlyStopping(monitor='val_loss', patience=5, restore_best_weights=True)\n","checkpoint = ModelCheckpoint('best_model.h5', monitor='val_accuracy',\n","                              save_best_only=True, verbose=1)\n","\n","history = model.fit(x_train, y_train,\n","                    epochs=50,\n","                    batch_size=32,\n","                    validation_data=(x_test, y_test),\n","                    callbacks=[early_stop, checkpoint])\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nTIGkAOftn3g","executionInfo":{"status":"ok","timestamp":1762953931517,"user_tz":0,"elapsed":150374,"user":{"displayName":"shanto Been","userId":"01810622944139423972"}},"outputId":"81078cb8-7181-47bd-d78e-a0910e271a04"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/50\n","\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.2893 - loss: 1.9024\n","Epoch 1: val_accuracy improved from -inf to 0.53760, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 7ms/step - accuracy: 0.2893 - loss: 1.9023 - val_accuracy: 0.5376 - val_loss: 1.2882\n","Epoch 2/50\n","\u001b[1m1558/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.5055 - loss: 1.3882\n","Epoch 2: val_accuracy improved from 0.53760 to 0.57590, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 4ms/step - accuracy: 0.5056 - loss: 1.3881 - val_accuracy: 0.5759 - val_loss: 1.1817\n","Epoch 3/50\n","\u001b[1m1548/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.5635 - loss: 1.2329\n","Epoch 3: val_accuracy improved from 0.57590 to 0.62920, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 5ms/step - accuracy: 0.5636 - loss: 1.2327 - val_accuracy: 0.6292 - val_loss: 1.0526\n","Epoch 4/50\n","\u001b[1m1561/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.6027 - loss: 1.1366\n","Epoch 4: val_accuracy improved from 0.62920 to 0.63670, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 7ms/step - accuracy: 0.6027 - loss: 1.1366 - val_accuracy: 0.6367 - val_loss: 1.0691\n","Epoch 5/50\n","\u001b[1m1550/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6316 - loss: 1.0574\n","Epoch 5: val_accuracy improved from 0.63670 to 0.66380, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 4ms/step - accuracy: 0.6316 - loss: 1.0573 - val_accuracy: 0.6638 - val_loss: 0.9527\n","Epoch 6/50\n","\u001b[1m1562/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6500 - loss: 0.9995\n","Epoch 6: val_accuracy improved from 0.66380 to 0.67240, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 4ms/step - accuracy: 0.6500 - loss: 0.9995 - val_accuracy: 0.6724 - val_loss: 0.9455\n","Epoch 7/50\n","\u001b[1m1557/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.6710 - loss: 0.9441\n","Epoch 7: val_accuracy improved from 0.67240 to 0.67790, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 4ms/step - accuracy: 0.6710 - loss: 0.9442 - val_accuracy: 0.6779 - val_loss: 0.9228\n","Epoch 8/50\n","\u001b[1m1551/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6828 - loss: 0.9143\n","Epoch 8: val_accuracy improved from 0.67790 to 0.68410, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 4ms/step - accuracy: 0.6828 - loss: 0.9143 - val_accuracy: 0.6841 - val_loss: 0.9125\n","Epoch 9/50\n","\u001b[1m1560/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.6971 - loss: 0.8748\n","Epoch 9: val_accuracy improved from 0.68410 to 0.69370, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 4ms/step - accuracy: 0.6971 - loss: 0.8749 - val_accuracy: 0.6937 - val_loss: 0.8887\n","Epoch 10/50\n","\u001b[1m1557/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7024 - loss: 0.8606\n","Epoch 10: val_accuracy improved from 0.69370 to 0.69550, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 4ms/step - accuracy: 0.7024 - loss: 0.8606 - val_accuracy: 0.6955 - val_loss: 0.8790\n","Epoch 11/50\n","\u001b[1m1558/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.7150 - loss: 0.8223\n","Epoch 11: val_accuracy did not improve from 0.69550\n","\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 4ms/step - accuracy: 0.7150 - loss: 0.8224 - val_accuracy: 0.6926 - val_loss: 0.9015\n","Epoch 12/50\n","\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7236 - loss: 0.7942\n","Epoch 12: val_accuracy improved from 0.69550 to 0.70050, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 4ms/step - accuracy: 0.7236 - loss: 0.7942 - val_accuracy: 0.7005 - val_loss: 0.8829\n","Epoch 13/50\n","\u001b[1m1551/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.7339 - loss: 0.7670\n","Epoch 13: val_accuracy improved from 0.70050 to 0.70110, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 4ms/step - accuracy: 0.7338 - loss: 0.7671 - val_accuracy: 0.7011 - val_loss: 0.8884\n","Epoch 14/50\n","\u001b[1m1555/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7467 - loss: 0.7323\n","Epoch 14: val_accuracy improved from 0.70110 to 0.70220, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 4ms/step - accuracy: 0.7466 - loss: 0.7325 - val_accuracy: 0.7022 - val_loss: 0.8793\n","Epoch 15/50\n","\u001b[1m1552/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.7436 - loss: 0.7267\n","Epoch 15: val_accuracy improved from 0.70220 to 0.71540, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 4ms/step - accuracy: 0.7436 - loss: 0.7268 - val_accuracy: 0.7154 - val_loss: 0.8639\n","Epoch 16/50\n","\u001b[1m1550/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7555 - loss: 0.6926\n","Epoch 16: val_accuracy did not improve from 0.71540\n","\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 4ms/step - accuracy: 0.7555 - loss: 0.6927 - val_accuracy: 0.7128 - val_loss: 0.8858\n","Epoch 17/50\n","\u001b[1m1558/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.7607 - loss: 0.6821\n","Epoch 17: val_accuracy did not improve from 0.71540\n","\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 4ms/step - accuracy: 0.7607 - loss: 0.6821 - val_accuracy: 0.7094 - val_loss: 0.9142\n","Epoch 18/50\n","\u001b[1m1553/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7666 - loss: 0.6676\n","Epoch 18: val_accuracy did not improve from 0.71540\n","\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 4ms/step - accuracy: 0.7666 - loss: 0.6676 - val_accuracy: 0.6922 - val_loss: 0.9454\n","Epoch 19/50\n","\u001b[1m1551/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.7708 - loss: 0.6508\n","Epoch 19: val_accuracy did not improve from 0.71540\n","\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 4ms/step - accuracy: 0.7707 - loss: 0.6509 - val_accuracy: 0.7124 - val_loss: 0.9114\n","Epoch 20/50\n","\u001b[1m1554/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7727 - loss: 0.6374\n","Epoch 20: val_accuracy did not improve from 0.71540\n","\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 4ms/step - accuracy: 0.7727 - loss: 0.6374 - val_accuracy: 0.7037 - val_loss: 0.9207\n"]}]},{"cell_type":"markdown","source":["\n","# Stage 6 – Visualize Training Progress"],"metadata":{"id":"jDy6Z8wm1Ibh"}},{"cell_type":"code","source":["plt.figure(figsize=(10,5))\n","plt.plot(history.history['accuracy'], label='Training Accuracy')\n","plt.plot(history.history['val_accuracy'], label='Validation Accuracy')\n","plt.title('Training vs Validation Accuracy')\n","plt.xlabel('Epoch')\n","plt.ylabel('Accuracy')\n","plt.legend()\n","plt.show()\n","\n","plt.figure(figsize=(10,5))\n","plt.plot(history.history['loss'], label='Training Loss')\n","plt.plot(history.history['val_loss'], label='Validation Loss')\n","plt.title('Training vs Validation Loss')\n","plt.xlabel('Epoch')\n","plt.ylabel('Loss')\n","plt.legend()\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":953},"id":"dhOhuVh4zJtL","executionInfo":{"status":"ok","timestamp":1762953931855,"user_tz":0,"elapsed":315,"user":{"displayName":"shanto Been","userId":"01810622944139423972"}},"outputId":"44aa8ba0-b87a-437a-fd5b-88f527cf1b82"},"execution_count":6,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# Stage 7 – Evaluate and Analyze Results"],"metadata":{"id":"mjwNQbn_1hd_"}},{"cell_type":"code","source":["model.save('cifar10_final_model.keras')\n","from google.colab import files\n","files.download('best_model.h5')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":17},"id":"Bb6yd0GL1L6S","executionInfo":{"status":"ok","timestamp":1762953931880,"user_tz":0,"elapsed":21,"user":{"displayName":"shanto Been","userId":"01810622944139423972"}},"outputId":"0954b070-0696-45f7-bd63-6a41f8404847"},"execution_count":7,"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.Javascript object>"],"application/javascript":["\n","    async function download(id, filename, size) {\n","      if (!google.colab.kernel.accessAllowed) {\n","        return;\n","      }\n","      const div = document.createElement('div');\n","      const label = document.createElement('label');\n","      label.textContent = `Downloading \"${filename}\": `;\n","      div.appendChild(label);\n","      const progress = document.createElement('progress');\n","      progress.max = size;\n","      div.appendChild(progress);\n","      document.body.appendChild(div);\n","\n","      const buffers = [];\n","      let downloaded = 0;\n","\n","      const channel = await google.colab.kernel.comms.open(id);\n","      // Send a message to notify the kernel that we're ready.\n","      channel.send({})\n","\n","      for await (const message of channel.messages) {\n","        // Send a message to notify the kernel that we're ready.\n","        channel.send({})\n","        if (message.buffers) {\n","          for (const buffer of message.buffers) {\n","            buffers.push(buffer);\n","            downloaded += buffer.byteLength;\n","            progress.value = downloaded;\n","          }\n","        }\n","      }\n","      const blob = new Blob(buffers, {type: 'application/binary'});\n","      const a = document.createElement('a');\n","      a.href = window.URL.createObjectURL(blob);\n","      a.download = filename;\n","      div.appendChild(a);\n","      a.click();\n","      div.remove();\n","    }\n","  "]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.Javascript object>"],"application/javascript":["download(\"download_5aa999d6-d85b-487e-a730-72c6e798e7ae\", \"best_model.h5\", 1517072)"]},"metadata":{}}]},{"cell_type":"code","source":["# Evaluate the model on the test data\n","test_loss, test_acc = model.evaluate(x_test, y_test, verbose=2)\n","print(f\"Final Test Accuracy: {test_acc:.4f}\")\n","\n","# Make predictions on the test set\n","y_pred = np.argmax(model.predict(x_test), axis=1)\n","\n","# Confusion Matrix\n","cm = confusion_matrix(y_test, y_pred)\n","plt.figure(figsize=(8,8))\n","sns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n","            xticklabels=class_names,\n","            yticklabels=class_names)\n","plt.xlabel('Predicted')\n","plt.ylabel('True')\n","plt.title('Confusion Matrix for CIFAR-10 CNN')\n","plt.show()\n","\n","# Classification Report\n","print(classification_report(y_test, y_pred, target_names=class_names))\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"xwEarZk8Gda2","executionInfo":{"status":"ok","timestamp":1762953935005,"user_tz":0,"elapsed":3100,"user":{"displayName":"shanto Been","userId":"01810622944139423972"}},"outputId":"724a8662-2336-4825-aed7-940b9c99af8e"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["313/313 - 1s - 2ms/step - accuracy: 0.7154 - loss: 0.8639\n","Final Test Accuracy: 0.7154\n","\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 2ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x800 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       0.74      0.76      0.75      1000\n","  automobile       0.84      0.83      0.84      1000\n","        bird       0.64      0.57      0.60      1000\n","         cat       0.55      0.51      0.53      1000\n","        deer       0.63      0.66      0.65      1000\n","         dog       0.64      0.63      0.63      1000\n","        frog       0.70      0.83      0.76      1000\n","       horse       0.77      0.75      0.76      1000\n","        ship       0.84      0.81      0.83      1000\n","       truck       0.81      0.80      0.80      1000\n","\n","    accuracy                           0.72     10000\n","   macro avg       0.71      0.72      0.71     10000\n","weighted avg       0.71      0.72      0.71     10000\n","\n"]}]},{"cell_type":"markdown","metadata":{"id":"22c7a043"},"source":["# Task\n","Load the \"best_model.h5\" and use it to predict the first 25 images from the test set. Visualize these 25 images, displaying their actual and predicted classes, and highlighting any incorrect predictions. Finally, summarize the prediction results and observations from the visualization."]},{"cell_type":"markdown","metadata":{"id":"7059c96a"},"source":["## Load Best Model\n","\n","### Subtask:\n","Load the saved 'best_model.h5' to use for making predictions.\n"]},{"cell_type":"markdown","metadata":{"id":"a1d1b3c6"},"source":["**Reasoning**:\n","To load the best performing model, I need to import the `load_model` function and use it to load the 'best_model.h5' file.\n","\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"f52aeaea","executionInfo":{"status":"ok","timestamp":1762953935035,"user_tz":0,"elapsed":24,"user":{"displayName":"shanto Been","userId":"01810622944139423972"}},"outputId":"a482423c-bf69-49b1-e9b1-021b2a964130"},"source":["from tensorflow.keras.models import load_model\n","\n","loaded_model = load_model('best_model.h5')\n","print(\"Model 'best_model.h5' loaded successfully.\")"],"execution_count":9,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:absl:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n"]},{"output_type":"stream","name":"stdout","text":["Model 'best_model.h5' loaded successfully.\n"]}]},{"cell_type":"markdown","metadata":{"id":"19d59002"},"source":["**Reasoning**:\n","The previous step successfully loaded the model despite a warning. Now, I will proceed to make predictions on the first 25 test images using the `loaded_model` as instructed by the task, and then visualize them along with their actual and predicted classes, highlighting incorrect predictions.\n","\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":999},"id":"87db988c","executionInfo":{"status":"ok","timestamp":1762953936648,"user_tz":0,"elapsed":1609,"user":{"displayName":"shanto Been","userId":"01810622944139423972"}},"outputId":"88ff4781-bcd2-4973-f24e-9c466193134f"},"source":["# Make predictions on the first 25 test images\n","predictions = loaded_model.predict(x_test[:25])\n","predicted_classes = np.argmax(predictions, axis=1)\n","\n","# Get true classes for the first 25 test images\n","true_classes = y_test[:25]\n","\n","# Visualize the first 25 test images\n","plt.figure(figsize=(10,10))\n","for i in range(25):\n","    plt.subplot(5,5,i+1)\n","    plt.imshow(x_test[i])\n","\n","    color = 'green' if predicted_classes[i] == true_classes[i] else 'red'\n","    title = f\"Actual: {class_names[true_classes[i]]}\\nPred: {class_names[predicted_classes[i]]}\"\n","\n","    plt.title(title, color=color)\n","    plt.axis('off')\n","plt.tight_layout()\n","plt.show()\n","\n","# Summarize the prediction results\n","correct_predictions = np.sum(predicted_classes == true_classes)\n","accuracy_first_25 = correct_predictions / 25\n","\n","print(f\"Summary of predictions for the first 25 images:\")\n","print(f\"Total images: 25\")\n","print(f\"Correct predictions: {correct_predictions}\")\n","print(f\"Incorrect predictions: {25 - correct_predictions}\")\n","print(f\"Accuracy on first 25 images: {accuracy_first_25:.2f}\")\n"],"execution_count":10,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 554ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x1000 with 25 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Summary of predictions for the first 25 images:\n","Total images: 25\n","Correct predictions: 20\n","Incorrect predictions: 5\n","Accuracy on first 25 images: 0.80\n"]}]},{"cell_type":"markdown","metadata":{"id":"9aec1eae"},"source":["## Final Task\n","\n","### Subtask:\n","Summarize the image prediction results and any observations from the visualization.\n"]},{"cell_type":"markdown","metadata":{"id":"96678ef9"},"source":["## Summary:\n","\n","### Data Analysis Key Findings\n","*   The pre-trained model (`best_model.h5`) was successfully loaded and used for predictions, despite a warning regarding compiled metrics not being built.\n","*   Out of the first 25 test images, the model correctly predicted 20 images and incorrectly predicted 5 images.\n","*   The visualization clearly highlighted incorrect predictions by coloring their titles in red, while correct predictions were in green.\n","*   The accuracy of the model on this sample of 25 images is 80% (0.80).\n","\n","### Insights or Next Steps\n","*   The 80% accuracy on the sampled images suggests good initial performance; however, a comprehensive evaluation on the entire test dataset is recommended to confirm the model's overall generalization ability.\n","*   Analyzing the specific characteristics of the 5 incorrectly predicted images could provide insights into the model's weaknesses or common misclassifications, which could inform future model improvements.\n"]}]}