"
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "data_augmentation = tf.keras.Sequential([\n",
+ " tf.keras.layers.InputLayer(input_shape=(256, 256, 3)),\n",
+ " tf.keras.layers.RandomFlip(\"horizontal\"),\n",
+ " tf.keras.layers.RandomRotation(0.1),\n",
+ " tf.keras.layers.RandomZoom(0.1),\n",
+ "])"
+ ],
+ "metadata": {
+ "id": "tmqj1NShCqF9"
+ },
+ "execution_count": 17,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Model parameters\n",
+ "weight_decay = 1e-4\n",
+ "num_classes = df['class'].nunique()\n",
+ "\n",
+ "# Model definition\n",
+ "model = Sequential([\n",
+ " data_augmentation # Augmentation applied only during training\n",
+ "])\n",
+ "\n",
+ "# Convolutional Blocks\n",
+ "model.add(Conv2D(32, (3,3), padding='same', activation='relu', kernel_regularizer=l2(weight_decay), input_shape=(256,256,3)))\n",
+ "model.add(BatchNormalization())\n",
+ "model.add(Conv2D(32, (3,3), padding='same', activation='relu', kernel_regularizer=l2(weight_decay)))\n",
+ "model.add(BatchNormalization())\n",
+ "model.add(MaxPooling2D((2,2)))\n",
+ "model.add(Dropout(0.2))\n",
+ "\n",
+ "model.add(Conv2D(64, (3,3), padding='same', activation='relu', kernel_regularizer=l2(weight_decay)))\n",
+ "model.add(BatchNormalization())\n",
+ "model.add(Conv2D(64, (3,3), padding='same', activation='relu', kernel_regularizer=l2(weight_decay)))\n",
+ "model.add(BatchNormalization())\n",
+ "model.add(MaxPooling2D((2,2)))\n",
+ "model.add(Dropout(0.3))\n",
+ "\n",
+ "model.add(Conv2D(128, (3,3), padding='same', activation='relu', kernel_regularizer=l2(weight_decay)))\n",
+ "model.add(BatchNormalization())\n",
+ "model.add(Conv2D(128, (3,3), padding='same', activation='relu', kernel_regularizer=l2(weight_decay)))\n",
+ "model.add(BatchNormalization())\n",
+ "model.add(MaxPooling2D((2,2)))\n",
+ "model.add(Dropout(0.4))\n",
+ "\n",
+ "model.add(Conv2D(256, (3,3), padding='same', activation='relu', kernel_regularizer=l2(weight_decay)))\n",
+ "model.add(BatchNormalization())\n",
+ "model.add(Conv2D(256, (3,3), padding='same', activation='relu', kernel_regularizer=l2(weight_decay)))\n",
+ "model.add(BatchNormalization())\n",
+ "model.add(MaxPooling2D((2,2)))\n",
+ "model.add(Dropout(0.5))\n",
+ "\n",
+ "# Final layers\n",
+ "model.add(Flatten())\n",
+ "model.add(Dense(num_classes, activation='softmax'))\n",
+ "\n",
+ "model.summary()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000
+ },
+ "id": "nNPRTt8tCtmk",
+ "outputId": "bed38f4a-30ae-4489-fafe-0ff7cbcb754d"
+ },
+ "execution_count": 18,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "\u001b[1mModel: \"sequential_1\"\u001b[0m\n"
+ ],
+ "text/html": [
+ "Model: \"sequential_1\"\n",
+ "
\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",
+ "│ sequential (\u001b[38;5;33mSequential\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m3\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\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;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m128\u001b[0m │\n",
+ "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m9,248\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_1 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\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;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m32\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;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m18,496\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_2 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n",
+ "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_3 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m36,928\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\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;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_4 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m73,856\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_4 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │\n",
+ "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_5 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m147,584\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_5 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\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;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_6 (\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;34m256\u001b[0m) │ \u001b[38;5;34m295,168\u001b[0m │\n",
+ "├──────────────────────────���──────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\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_7 (\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;34m256\u001b[0m) │ \u001b[38;5;34m590,080\u001b[0m │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_7 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\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_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;34m256\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;34m256\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;34m65536\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;34m3\u001b[0m) │ \u001b[38;5;34m196,611\u001b[0m │\n",
+ "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
+ ],
+ "text/html": [
+ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
+ "┃ Layer (type) ┃ Output Shape ┃ Param # ┃\n",
+ "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
+ "│ sequential (Sequential) │ (None, 256, 256, 3) │ 0 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d (Conv2D) │ (None, 256, 256, 32) │ 896 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization │ (None, 256, 256, 32) │ 128 │\n",
+ "│ (BatchNormalization) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_1 (Conv2D) │ (None, 256, 256, 32) │ 9,248 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_1 │ (None, 256, 256, 32) │ 128 │\n",
+ "│ (BatchNormalization) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ max_pooling2d (MaxPooling2D) │ (None, 128, 128, 32) │ 0 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ dropout (Dropout) │ (None, 128, 128, 32) │ 0 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_2 (Conv2D) │ (None, 128, 128, 64) │ 18,496 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_2 │ (None, 128, 128, 64) │ 256 │\n",
+ "│ (BatchNormalization) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_3 (Conv2D) │ (None, 128, 128, 64) │ 36,928 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_3 │ (None, 128, 128, 64) │ 256 │\n",
+ "│ (BatchNormalization) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ max_pooling2d_1 (MaxPooling2D) │ (None, 64, 64, 64) │ 0 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ dropout_1 (Dropout) │ (None, 64, 64, 64) │ 0 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_4 (Conv2D) │ (None, 64, 64, 128) │ 73,856 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_4 │ (None, 64, 64, 128) │ 512 │\n",
+ "│ (BatchNormalization) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_5 (Conv2D) │ (None, 64, 64, 128) │ 147,584 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_5 │ (None, 64, 64, 128) │ 512 │\n",
+ "│ (BatchNormalization) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ max_pooling2d_2 (MaxPooling2D) │ (None, 32, 32, 128) │ 0 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ dropout_2 (Dropout) │ (None, 32, 32, 128) │ 0 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_6 (Conv2D) │ (None, 32, 32, 256) │ 295,168 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_6 │ (None, 32, 32, 256) │ 1,024 │\n",
+ "│ (BatchNormalization) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ conv2d_7 (Conv2D) │ (None, 32, 32, 256) │ 590,080 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ batch_normalization_7 │ (None, 32, 32, 256) │ 1,024 │\n",
+ "│ (BatchNormalization) │ │ │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ max_pooling2d_3 (MaxPooling2D) │ (None, 16, 16, 256) │ 0 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ dropout_3 (Dropout) │ (None, 16, 16, 256) │ 0 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ flatten (Flatten) │ (None, 65536) │ 0 │\n",
+ "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+ "│ dense (Dense) │ (None, 3) │ 196,611 │\n",
+ "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
+ "
\n"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,372,707\u001b[0m (5.24 MB)\n"
+ ],
+ "text/html": [
+ " Total params: 1,372,707 (5.24 MB)\n",
+ "
\n"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,370,787\u001b[0m (5.23 MB)\n"
+ ],
+ "text/html": [
+ " Trainable params: 1,370,787 (5.23 MB)\n",
+ "
\n"
+ ]
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m1,920\u001b[0m (7.50 KB)\n"
+ ],
+ "text/html": [
+ " Non-trainable params: 1,920 (7.50 KB)\n",
+ "
\n"
+ ]
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Training hyperparameters\n",
+ "epochs = 50\n",
+ "learning_rate = 0.0005\n",
+ "\n",
+ "# Compile\n",
+ "optimizer = Adam(learning_rate=learning_rate)\n",
+ "model.compile( optimizer=optimizer, loss='sparse_categorical_crossentropy', metrics=['accuracy'])\n",
+ "\n",
+ "# Callbacks\n",
+ "reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.5, patience=10, min_lr=1e-5, verbose=1)\n",
+ "early_stopping = EarlyStopping(monitor='val_loss', patience=40, restore_best_weights=True, verbose=1)\n",
+ "\n",
+ "# Train\n",
+ "history = model.fit(train_ds, validation_data=val_ds, epochs=epochs, callbacks=[reduce_lr, early_stopping], verbose=1)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "mEJt1kePC0-k",
+ "outputId": "4889b080-cbdb-4b56-ea32-968faeca4672"
+ },
+ "execution_count": 19,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Epoch 1/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m54s\u001b[0m 500ms/step - accuracy: 0.5084 - loss: 5.4544 - val_accuracy: 0.3333 - val_loss: 3.2954 - learning_rate: 5.0000e-04\n",
+ "Epoch 2/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 407ms/step - accuracy: 0.5674 - loss: 2.7840 - val_accuracy: 0.3333 - val_loss: 3.1058 - learning_rate: 5.0000e-04\n",
+ "Epoch 3/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 421ms/step - accuracy: 0.5775 - loss: 2.1523 - val_accuracy: 0.3333 - val_loss: 5.3611 - learning_rate: 5.0000e-04\n",
+ "Epoch 4/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 415ms/step - accuracy: 0.6103 - loss: 2.0598 - val_accuracy: 0.3370 - val_loss: 4.3625 - learning_rate: 5.0000e-04\n",
+ "Epoch 5/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 416ms/step - accuracy: 0.6083 - loss: 2.3723 - val_accuracy: 0.3926 - val_loss: 4.3784 - learning_rate: 5.0000e-04\n",
+ "Epoch 6/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 415ms/step - accuracy: 0.5938 - loss: 2.2542 - val_accuracy: 0.4259 - val_loss: 5.0942 - learning_rate: 5.0000e-04\n",
+ "Epoch 7/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 417ms/step - accuracy: 0.5994 - loss: 2.1896 - val_accuracy: 0.5519 - val_loss: 2.6073 - learning_rate: 5.0000e-04\n",
+ "Epoch 8/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 418ms/step - accuracy: 0.6170 - loss: 1.9525 - val_accuracy: 0.6481 - val_loss: 2.1193 - learning_rate: 5.0000e-04\n",
+ "Epoch 9/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 420ms/step - accuracy: 0.6184 - loss: 2.0398 - val_accuracy: 0.6000 - val_loss: 4.4783 - learning_rate: 5.0000e-04\n",
+ "Epoch 10/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 419ms/step - accuracy: 0.6352 - loss: 2.1639 - val_accuracy: 0.5630 - val_loss: 4.1688 - learning_rate: 5.0000e-04\n",
+ "Epoch 11/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 421ms/step - accuracy: 0.6190 - loss: 1.7312 - val_accuracy: 0.5778 - val_loss: 3.6274 - learning_rate: 5.0000e-04\n",
+ "Epoch 12/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 431ms/step - accuracy: 0.6112 - loss: 1.9153 - val_accuracy: 0.5296 - val_loss: 12.7033 - learning_rate: 5.0000e-04\n",
+ "Epoch 13/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m40s\u001b[0m 421ms/step - accuracy: 0.6368 - loss: 1.6711 - val_accuracy: 0.5407 - val_loss: 11.1324 - learning_rate: 5.0000e-04\n",
+ "Epoch 14/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 420ms/step - accuracy: 0.6367 - loss: 1.8289 - val_accuracy: 0.6778 - val_loss: 3.2129 - learning_rate: 5.0000e-04\n",
+ "Epoch 15/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 418ms/step - accuracy: 0.6560 - loss: 1.8187 - val_accuracy: 0.5259 - val_loss: 18.0961 - learning_rate: 5.0000e-04\n",
+ "Epoch 16/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 418ms/step - accuracy: 0.6175 - loss: 1.9227 - val_accuracy: 0.6074 - val_loss: 21.7285 - learning_rate: 5.0000e-04\n",
+ "Epoch 17/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 419ms/step - accuracy: 0.6677 - loss: 1.3965 - val_accuracy: 0.6370 - val_loss: 7.0704 - learning_rate: 5.0000e-04\n",
+ "Epoch 18/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 410ms/step - accuracy: 0.6247 - loss: 1.5890\n",
+ "Epoch 18: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 418ms/step - accuracy: 0.6247 - loss: 1.5917 - val_accuracy: 0.6111 - val_loss: 8.6456 - learning_rate: 5.0000e-04\n",
+ "Epoch 19/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 417ms/step - accuracy: 0.6422 - loss: 1.7045 - val_accuracy: 0.6778 - val_loss: 1.4924 - learning_rate: 2.5000e-04\n",
+ "Epoch 20/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 418ms/step - accuracy: 0.6740 - loss: 1.0988 - val_accuracy: 0.6630 - val_loss: 1.6445 - learning_rate: 2.5000e-04\n",
+ "Epoch 21/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 416ms/step - accuracy: 0.7000 - loss: 1.2955 - val_accuracy: 0.6333 - val_loss: 6.1570 - learning_rate: 2.5000e-04\n",
+ "Epoch 22/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 418ms/step - accuracy: 0.6923 - loss: 1.1270 - val_accuracy: 0.6704 - val_loss: 3.9367 - learning_rate: 2.5000e-04\n",
+ "Epoch 23/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 415ms/step - accuracy: 0.6807 - loss: 1.2051 - val_accuracy: 0.5926 - val_loss: 9.0171 - learning_rate: 2.5000e-04\n",
+ "Epoch 24/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 418ms/step - accuracy: 0.6800 - loss: 1.1381 - val_accuracy: 0.6000 - val_loss: 7.8879 - learning_rate: 2.5000e-04\n",
+ "Epoch 25/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 418ms/step - accuracy: 0.6916 - loss: 1.4713 - val_accuracy: 0.6333 - val_loss: 13.8890 - learning_rate: 2.5000e-04\n",
+ "Epoch 26/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 418ms/step - accuracy: 0.6942 - loss: 1.2382 - val_accuracy: 0.5815 - val_loss: 9.1096 - learning_rate: 2.5000e-04\n",
+ "Epoch 27/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 429ms/step - accuracy: 0.6775 - loss: 1.3431 - val_accuracy: 0.6593 - val_loss: 5.3564 - learning_rate: 2.5000e-04\n",
+ "Epoch 28/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m40s\u001b[0m 417ms/step - accuracy: 0.7007 - loss: 1.1462 - val_accuracy: 0.6222 - val_loss: 14.6340 - learning_rate: 2.5000e-04\n",
+ "Epoch 29/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 411ms/step - accuracy: 0.7057 - loss: 1.2816\n",
+ "Epoch 29: ReduceLROnPlateau reducing learning rate to 0.0001250000059371814.\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 419ms/step - accuracy: 0.7056 - loss: 1.2805 - val_accuracy: 0.6333 - val_loss: 8.6033 - learning_rate: 2.5000e-04\n",
+ "Epoch 30/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 419ms/step - accuracy: 0.7080 - loss: 1.0514 - val_accuracy: 0.7296 - val_loss: 1.8999 - learning_rate: 1.2500e-04\n",
+ "Epoch 31/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 418ms/step - accuracy: 0.7500 - loss: 0.9273 - val_accuracy: 0.7111 - val_loss: 1.4699 - learning_rate: 1.2500e-04\n",
+ "Epoch 32/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 416ms/step - accuracy: 0.7288 - loss: 0.8463 - val_accuracy: 0.7111 - val_loss: 1.6973 - learning_rate: 1.2500e-04\n",
+ "Epoch 33/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 415ms/step - accuracy: 0.7449 - loss: 0.8220 - val_accuracy: 0.7037 - val_loss: 2.0971 - learning_rate: 1.2500e-04\n",
+ "Epoch 34/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m40s\u001b[0m 415ms/step - accuracy: 0.7149 - loss: 0.9326 - val_accuracy: 0.7222 - val_loss: 1.8430 - learning_rate: 1.2500e-04\n",
+ "Epoch 35/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 417ms/step - accuracy: 0.7504 - loss: 0.8303 - val_accuracy: 0.6852 - val_loss: 1.6293 - learning_rate: 1.2500e-04\n",
+ "Epoch 36/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 420ms/step - accuracy: 0.7637 - loss: 0.7293 - val_accuracy: 0.7296 - val_loss: 1.4126 - learning_rate: 1.2500e-04\n",
+ "Epoch 37/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 415ms/step - accuracy: 0.7565 - loss: 1.0217 - val_accuracy: 0.7296 - val_loss: 1.5879 - learning_rate: 1.2500e-04\n",
+ "Epoch 38/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 418ms/step - accuracy: 0.7545 - loss: 0.9187 - val_accuracy: 0.6963 - val_loss: 2.5577 - learning_rate: 1.2500e-04\n",
+ "Epoch 39/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 415ms/step - accuracy: 0.7370 - loss: 0.8602 - val_accuracy: 0.7333 - val_loss: 2.5257 - learning_rate: 1.2500e-04\n",
+ "Epoch 40/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 418ms/step - accuracy: 0.7466 - loss: 0.9632 - val_accuracy: 0.6667 - val_loss: 2.4838 - learning_rate: 1.2500e-04\n",
+ "Epoch 41/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 417ms/step - accuracy: 0.7331 - loss: 1.0928 - val_accuracy: 0.6815 - val_loss: 4.1616 - learning_rate: 1.2500e-04\n",
+ "Epoch 42/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 416ms/step - accuracy: 0.7597 - loss: 0.9485 - val_accuracy: 0.6852 - val_loss: 3.8026 - learning_rate: 1.2500e-04\n",
+ "Epoch 43/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 415ms/step - accuracy: 0.7860 - loss: 0.8135 - val_accuracy: 0.6852 - val_loss: 3.3227 - learning_rate: 1.2500e-04\n",
+ "Epoch 44/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 420ms/step - accuracy: 0.7626 - loss: 0.7913 - val_accuracy: 0.7000 - val_loss: 7.5243 - learning_rate: 1.2500e-04\n",
+ "Epoch 45/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 418ms/step - accuracy: 0.7658 - loss: 0.8128 - val_accuracy: 0.7074 - val_loss: 2.4382 - learning_rate: 1.2500e-04\n",
+ "Epoch 46/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 423ms/step - accuracy: 0.7493 - loss: 0.8634 - val_accuracy: 0.7111 - val_loss: 1.3442 - learning_rate: 1.2500e-04\n",
+ "Epoch 47/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 419ms/step - accuracy: 0.7688 - loss: 0.8437 - val_accuracy: 0.6370 - val_loss: 2.0456 - learning_rate: 1.2500e-04\n",
+ "Epoch 48/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 417ms/step - accuracy: 0.7637 - loss: 0.8175 - val_accuracy: 0.6815 - val_loss: 3.0238 - learning_rate: 1.2500e-04\n",
+ "Epoch 49/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 418ms/step - accuracy: 0.7796 - loss: 0.6496 - val_accuracy: 0.7704 - val_loss: 1.6660 - learning_rate: 1.2500e-04\n",
+ "Epoch 50/50\n",
+ "\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 419ms/step - accuracy: 0.7589 - loss: 0.8388 - val_accuracy: 0.6296 - val_loss: 16.4107 - learning_rate: 1.2500e-04\n",
+ "Restoring model weights from the end of the best epoch: 46.\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Evaluate on test dataset\n",
+ "test_loss, test_accuracy = model.evaluate(test_ds, verbose=1)\n",
+ "print(f\"Test Accuracy: {test_accuracy:.4f}\")\n",
+ "\n",
+ "# Predict probabilities\n",
+ "y_pred_probs = model.predict(test_ds)\n",
+ "y_pred = np.argmax(y_pred_probs, axis=1)\n",
+ "\n",
+ "# True labels (same order as test_ds batching)\n",
+ "y_true = np.concatenate([y for x, y in test_ds], axis=0)\n",
+ "\n",
+ "# Metrics\n",
+ "precision = precision_score(y_true, y_pred, average='macro')\n",
+ "recall = recall_score(y_true, y_pred, average='macro')\n",
+ "f1 = f1_score(y_true, y_pred, average='macro')\n",
+ "\n",
+ "print(f\"Precision: {precision:.4f}, Recall: {recall:.4f}, F1-score: {f1:.4f}\")\n",
+ "\n",
+ "# Optional: detailed report per class\n",
+ "print(\"\\nClassification Report:\")\n",
+ "print(classification_report(y_true, y_pred, target_names=le.classes_))"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "L01F-Q88KoMQ",
+ "outputId": "2ed0992a-2788-49b1-de01-20cbcc4d10ba"
+ },
+ "execution_count": 20,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 141ms/step - accuracy: 0.6609 - loss: 13.4383\n",
+ "Test Accuracy: 0.6733\n",
+ "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 93ms/step\n",
+ "Precision: 0.7014, Recall: 0.6733, F1-score: 0.6610\n",
+ "\n",
+ "Classification Report:\n",
+ " precision recall f1-score support\n",
+ "\n",
+ " cats 0.73 0.56 0.63 100\n",
+ " dogs 0.77 0.50 0.61 100\n",
+ " snakes 0.61 0.96 0.74 100\n",
+ "\n",
+ " accuracy 0.67 300\n",
+ " macro avg 0.70 0.67 0.66 300\n",
+ "weighted avg 0.70 0.67 0.66 300\n",
+ "\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Evaluate model\n",
+ "test_loss, test_accuracy = model.evaluate(test_ds, verbose=1)\n",
+ "print(f\"Test Accuracy: {test_accuracy:.4f}\")\n",
+ "\n",
+ "# Predictions\n",
+ "y_probs = model.predict(test_ds) # shape: (num_samples, num_classes)\n",
+ "y_pred = np.argmax(y_probs, axis=1)\n",
+ "\n",
+ "# True labels (extract from test_ds)\n",
+ "y_true = np.concatenate([y for _, y in test_ds], axis=0)\n",
+ "\n",
+ "# Classification report\n",
+ "print(\"\\nClassification Report:\")\n",
+ "print(classification_report(y_true, y_pred, target_names=le.classes_))\n",
+ "\n",
+ "# Confusion matrix\n",
+ "cm = confusion_matrix(y_true, y_pred)\n",
+ "plt.figure(figsize=(10,8))\n",
+ "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\",\n",
+ " xticklabels=le.classes_, yticklabels=le.classes_)\n",
+ "plt.xlabel(\"Predicted\")\n",
+ "plt.ylabel(\"True\")\n",
+ "plt.title(\"Confusion Matrix\")\n",
+ "plt.show()\n",
+ "\n",
+ "# ROC curve (multi-class, one-vs-rest)\n",
+ "y_true_bin = label_binarize(y_true, classes=np.arange(num_classes)) # binarized true labels\n",
+ "\n",
+ "plt.figure(figsize=(10,8))\n",
+ "for i in range(num_classes):\n",
+ " fpr, tpr, _ = roc_curve(y_true_bin[:, i], y_probs[:, i])\n",
+ " plt.plot(fpr, tpr, label=f\"{le.classes_[i]}\")\n",
+ "plt.plot([0,1],[0,1],'k--', label='Random')\n",
+ "plt.xlabel(\"False Positive Rate\")\n",
+ "plt.ylabel(\"True Positive Rate\")\n",
+ "plt.title(\"ROC Curves (One-vs-Rest)\")\n",
+ "plt.legend()\n",
+ "plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000
+ },
+ "id": "0pE7HmbpKwK5",
+ "outputId": "a9dbd6ea-8277-44dc-e7aa-a07061ab5878"
+ },
+ "execution_count": 21,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 66ms/step - accuracy: 0.6609 - loss: 13.4383\n",
+ "Test Accuracy: 0.6733\n",
+ "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 61ms/step\n",
+ "\n",
+ "Classification Report:\n",
+ " precision recall f1-score support\n",
+ "\n",
+ " cats 0.73 0.56 0.63 100\n",
+ " dogs 0.77 0.50 0.61 100\n",
+ " snakes 0.61 0.96 0.74 100\n",
+ "\n",
+ " accuracy 0.67 300\n",
+ " macro avg 0.70 0.67 0.66 300\n",
+ "weighted avg 0.70 0.67 0.66 300\n",
+ "\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Predictions\n",
+ "y_probs = model.predict(test_ds)\n",
+ "y_pred = np.argmax(y_probs, axis=1)\n",
+ "\n",
+ "# True labels\n",
+ "y_true = np.concatenate([y for _, y in test_ds], axis=0)\n",
+ "\n",
+ "# Metrics per class\n",
+ "precision, recall, f1, support = precision_recall_fscore_support(\n",
+ " y_true, y_pred, average=None, labels=np.arange(num_classes)\n",
+ ")\n",
+ "\n",
+ "df_metrics = pd.DataFrame({\n",
+ " 'Class': le.classes_, # use actual class names instead of 0,1,2,3\n",
+ " 'Precision': precision,\n",
+ " 'Recall': recall,\n",
+ " 'F1-score': f1,\n",
+ " 'Support': support\n",
+ "})\n",
+ "\n",
+ "# Sort by F1-score ascending\n",
+ "df_metrics_sorted = df_metrics.sort_values(by='F1-score')\n",
+ "print(df_metrics_sorted)\n",
+ "\n",
+ "# Macro averages\n",
+ "precision_macro, recall_macro, f1_macro, _ = precision_recall_fscore_support(\n",
+ " y_true, y_pred, average='macro'\n",
+ ")\n",
+ "print(f\"\\nMacro Avg -> Precision: {precision_macro:.4f}, Recall: {recall_macro:.4f}, F1-score: {f1_macro:.4f}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "MVLEdOa_K0UX",
+ "outputId": "f77669b9-a584-44e3-e7b2-f013c7226bc1"
+ },
+ "execution_count": 22,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 62ms/step\n",
+ " Class Precision Recall F1-score Support\n",
+ "1 dogs 0.769231 0.50 0.606061 100\n",
+ "0 cats 0.727273 0.56 0.632768 100\n",
+ "2 snakes 0.607595 0.96 0.744186 100\n",
+ "\n",
+ "Macro Avg -> Precision: 0.7014, Recall: 0.6733, F1-score: 0.6610\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Confusion matrix (no annotations, just intensity heatmap)\n",
+ "cm = confusion_matrix(y_true, y_pred)\n",
+ "\n",
+ "plt.figure(figsize=(15,12))\n",
+ "sns.heatmap(cm, annot=False, fmt='d', cmap='Blues',\n",
+ " xticklabels=le.classes_, yticklabels=le.classes_)\n",
+ "plt.xlabel(\"Predicted Class\")\n",
+ "plt.ylabel(\"True Class\")\n",
+ "plt.title(\"Confusion Matrix Heatmap\")\n",
+ "plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000
+ },
+ "id": "sAFsTIeSK7hg",
+ "outputId": "5ea61d6a-df82-49a2-b773-17957d057db5"
+ },
+ "execution_count": 23,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Binarize true labels\n",
+ "y_test_bin = label_binarize(y_true, classes=np.arange(num_classes))\n",
+ "\n",
+ "# Predict class probabilities\n",
+ "y_probs = model.predict(test_ds)\n",
+ "\n",
+ "# Compute macro-average ROC\n",
+ "all_fpr = np.linspace(0, 1, 100)\n",
+ "mean_tpr = 0\n",
+ "\n",
+ "for i in range(num_classes):\n",
+ " fpr, tpr, _ = roc_curve(y_test_bin[:, i], y_probs[:, i])\n",
+ " mean_tpr += np.interp(all_fpr, fpr, tpr)\n",
+ "\n",
+ "mean_tpr /= num_classes\n",
+ "roc_auc = auc(all_fpr, mean_tpr)\n",
+ "\n",
+ "# Plot\n",
+ "plt.figure(figsize=(10,6))\n",
+ "plt.plot(all_fpr, mean_tpr, color='b',\n",
+ " label=f'Macro-average ROC (AUC = {roc_auc:.4f})')\n",
+ "plt.plot([0,1],[0,1],'k--', label='Random')\n",
+ "plt.xlabel('False Positive Rate')\n",
+ "plt.ylabel('True Positive Rate')\n",
+ "plt.title('Macro-average ROC Curve')\n",
+ "plt.legend()\n",
+ "plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 581
+ },
+ "id": "mhuGkEoLK9gw",
+ "outputId": "ff441f04-ac09-4d79-d7ce-abdd82ea579d"
+ },
+ "execution_count": 24,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 62ms/step\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": "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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "model.save(\"Animal_Classification.h5\")\n",
+ "files.download(\"Animal_Classification.h5\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 54
+ },
+ "id": "B4SQATCjLI8o",
+ "outputId": "c45266a7-9c7c-450e-ad93-9cf48ec7e01f"
+ },
+ "execution_count": 27,
+ "outputs": [
+ {
+ "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": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "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": [
+ ""
+ ],
+ "application/javascript": [
+ "download(\"download_bf63cbfd-b8f9-4883-84de-9d3f5377b3b5\", \"Animal_Classification.h5\", 16611832)"
+ ]
+ },
+ "metadata": {}
+ }
+ ]
+ }
+ ]
+}
\ No newline at end of file