FineTuning-TransferLearning_VGG16-RESNET50.ipynb

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        "<a href=\"https://colab.research.google.com/github/Ramyrahmeni/DeepLearning/blob/main/FineTuning-TransferLearning_VGG16-RESNET50.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "code",
      "source": [
        "from keras.datasets import fashion_mnist\n",
        "# Split the data into training and testing\n",
        "(trainX, trainy), (testX, testy) = fashion_mnist.load_data()\n",
        "\n",
        "# Print the dimensions of the dataset\n",
        "print('Train: X = ', trainX.shape)\n",
        "print('Test: X = ', testX.shape)"
      ],
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          "text": "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz\n\u001b[1m29515/29515\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\nDownloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-images-idx3-ubyte.gz\n\u001b[1m26421880/26421880\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\nDownloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-labels-idx1-ubyte.gz\n\u001b[1m5148/5148\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1us/step\nDownloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-images-idx3-ubyte.gz\n\u001b[1m4422102/4422102\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\nTrain: X =  (60000, 28, 28)\nTest: X =  (10000, 28, 28)\n",
          "output_type": "stream"
        }
      ],
      "id": "2s9AM8jVqpio"
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow as tf\n",
        "import matplotlib.pyplot as plt\n",
        "import os\n",
        "import numpy as np"
      ],
      "metadata": {
        "execution": {
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    {
      "cell_type": "markdown",
      "source": [
        "## Feature extraction"
      ],
      "metadata": {
        "id": "JG3G2TQYqpiz"
      },
      "id": "JG3G2TQYqpiz"
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow as tf\n",
        "import os\n",
        "\n",
        "# Define the paths to your train and validation directories\n",
        "train_dir = '/kaggle/input/fruit-classification10-class/MY_data/train'\n",
        "val_dir = '/kaggle/input/fruit-classification10-class/MY_data/test'  # Changed from test_dir to val_dir\n",
        "\n",
        "# Function to load images and labels from the directory\n",
        "def load_images_from_directory(directory):\n",
        "    images = []\n",
        "    labels = []\n",
        "    class_names = os.listdir(directory)  # Get class names (subdirectory names)\n",
        "\n",
        "    for label, class_name in enumerate(class_names):\n",
        "        class_dir = os.path.join(directory, class_name)\n",
        "        for img_file in os.listdir(class_dir):\n",
        "            img_path = os.path.join(class_dir, img_file)\n",
        "            img = tf.io.read_file(img_path)  # Read image file\n",
        "            img = tf.image.decode_jpeg(img, channels=3)  # Decode image\n",
        "            img = tf.image.resize(img, [224, 224])  # Resize to (224, 224)\n",
        "            images.append(img)\n",
        "            labels.append(label)  # Append the integer label corresponding to the class\n",
        "\n",
        "    return tf.convert_to_tensor(images), tf.convert_to_tensor(labels)\n",
        "\n",
        "# Load the train dataset\n",
        "train_images, train_labels = load_images_from_directory(train_dir)\n",
        "train_labels = tf.keras.utils.to_categorical(train_labels, num_classes=len(os.listdir(train_dir)))\n",
        "\n",
        "# Load the validation dataset\n",
        "val_images, val_labels = load_images_from_directory(val_dir)  # Changed from test_images to val_images\n",
        "val_labels = tf.keras.utils.to_categorical(val_labels, num_classes=len(os.listdir(val_dir)))  # Changed from test_labels to val_labels\n",
        "\n",
        "# Check the number of samples\n",
        "train_size = tf.shape(train_images)[0]  # Get the number of training samples\n",
        "val_size = tf.shape(val_images)[0]  # Get the number of validation samples\n",
        "\n",
        "print(f'Training samples: {train_size.numpy()}')  # Convert tensor to numpy for printing\n",
        "print(f'Validation samples: {val_size.numpy()}')  # Convert tensor to numpy for printing\n"
      ],
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        "outputId": "7007f5ea-e4ff-44cb-892d-b92104144881"
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      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "Training samples: 2301\nValidation samples: 1025\n",
          "output_type": "stream"
        }
      ],
      "id": "_d4xhiVMqpi3"
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    {
      "cell_type": "code",
      "source": [
        "train_images[0]"
      ],
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        "execution": {
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        {
          "execution_count": 12,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<tf.Tensor: shape=(224, 224, 3), dtype=float32, numpy=\narray([[[170.74107 , 186.74107 , 175.40178 ],\n        [173.82143 , 189.82143 , 178.48215 ],\n        [171.60156 , 187.60156 , 176.26228 ],\n        ...,\n        [ 26.746653,  43.558037,  40.72098 ],\n        [ 16.73549 ,  30.674107,  26.896206],\n        [ 20.982143,  33.151787,  28.642857]],\n\n       [[133.80357 , 150.3125  , 134.25893 ],\n        [119.02121 , 135.53014 , 119.47656 ],\n        [106.626114, 123.13505 , 107.081474],\n        ...,\n        [ 30.79799 ,  46.280132,  41.00558 ],\n        [ 18.627232,  31.859375,  25.282366],\n        [ 15.491072,  27.473215,  19.964287]],\n\n       [[125.54464 , 143.39285 , 120.15179 ],\n        [106.074776, 123.92299 ,  99.62165 ],\n        [ 93.21094 , 111.05915 ,  86.12165 ],\n        ...,\n        [ 22.04799 ,  33.685265,  26.212051],\n        [ 17.477678,  27.819197,  19.595982],\n        [ 20.089287,  30.241072,  21.392857]],\n\n       ...,\n\n       [[ 21.696411,  21.696411,  13.696411],\n        [ 19.14064 ,  19.14064 ,  11.14064 ],\n        [ 18.812561,  18.812561,  10.812561],\n        ...,\n        [ 16.      ,  17.      ,   9.      ],\n        [ 16.      ,  17.      ,   9.      ],\n        [ 16.      ,  17.      ,   9.      ]],\n\n       [[ 20.491089,  19.017822,  11.508911],\n        [ 23.571533,  22.098267,  14.589355],\n        [ 31.195541,  29.722275,  22.213364],\n        ...,\n        [ 16.      ,  17.      ,   9.      ],\n        [ 16.      ,  17.      ,   9.      ],\n        [ 16.      ,  17.      ,   9.      ]],\n\n       [[ 19.339294,  16.339294,   9.339294],\n        [ 28.597088,  25.597088,  18.597088],\n        [ 45.76335 ,  42.76335 ,  35.76335 ],\n        ...,\n        [ 16.      ,  17.      ,   9.      ],\n        [ 16.      ,  17.      ,   9.      ],\n        [ 16.      ,  17.      ,   9.      ]]], dtype=float32)>"
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    {
      "cell_type": "code",
      "source": [
        "images="
      ],
      "metadata": {
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      },
      "execution_count": null,
      "outputs": [],
      "id": "PO6Bzl8Fqpi7"
    },
    {
      "cell_type": "code",
      "source": [
        "for images, labels in train_ds.take(1):\n",
        "    image = images[0].numpy().astype(\"uint8\")  # Convert tensor to numpy\n",
        "    label = labels[0].numpy()  # Get the label\n",
        "\n",
        "    # Display the image\n",
        "    plt.imshow(image)\n",
        "    plt.axis(\"off\")  # Hide axes\n",
        "    plt.show()\n",
        "\n",
        "    # Print the size and label\n",
        "    print(f\"Image shape: {image.shape}\")  # Should be (224, 224, 3)\n",
        "    print(f\"Label: {label}\")  # One-hot encoded or class index"
      ],
      "metadata": {
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        },
        {
          "name": "stdout",
          "text": "Image shape: (224, 224, 3)\nLabel: [0. 0. 1. 0. 0. 0. 0. 0. 0. 0.]\n",
          "output_type": "stream"
        }
      ],
      "id": "oi1eKf70qpi8"
    },
    {
      "cell_type": "code",
      "source": [
        "def count_images_in_classes(base_dir):\n",
        "    class_counts = {}\n",
        "    for class_name in os.listdir(base_dir):\n",
        "        class_path = os.path.join(base_dir, class_name)\n",
        "        if os.path.isdir(class_path):\n",
        "            class_counts[class_name] = len(os.listdir(class_path))\n",
        "    return class_counts\n",
        "\n",
        "# Count images for train and test datasets\n",
        "train_counts = count_images_in_classes(train_dir)\n",
        "test_counts = count_images_in_classes(test_dir)\n",
        "\n",
        "# Convert to numpy arrays for easier plotting\n",
        "train_classes = list(train_counts.keys())\n",
        "train_sizes = np.array(list(train_counts.values()))\n",
        "\n",
        "test_classes = list(test_counts.keys())\n",
        "test_sizes = np.array(list(test_counts.values()))\n",
        "\n",
        "# Plotting the class distribution\n",
        "fig, axs = plt.subplots(1, 2, figsize=(14, 6))\n",
        "\n",
        "# Train data distribution\n",
        "axs[0].bar(train_classes, train_sizes, color='skyblue')\n",
        "axs[0].set_title('Training Class Distribution')\n",
        "axs[0].set_xlabel('Classes')\n",
        "axs[0].set_ylabel('Number of Images')\n",
        "axs[0].tick_params(axis='x', rotation=45)\n",
        "\n",
        "# Test data distribution\n",
        "axs[1].bar(test_classes, test_sizes, color='lightgreen')\n",
        "axs[1].set_title('Test Class Distribution')\n",
        "axs[1].set_xlabel('Classes')\n",
        "axs[1].set_ylabel('Number of Images')\n",
        "axs[1].tick_params(axis='x', rotation=45)\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2024-10-27T08:58:32.483668Z",
          "iopub.execute_input": "2024-10-27T08:58:32.484402Z",
          "iopub.status.idle": "2024-10-27T08:58:33.043306Z",
          "shell.execute_reply.started": "2024-10-27T08:58:32.484361Z",
          "shell.execute_reply": "2024-10-27T08:58:33.042413Z"
        },
        "trusted": true,
        "id": "S4b_Ojzvqpi-",
        "outputId": "d65c5c93-2d3f-45b9-96d5-2c905e77dccc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1400x600 with 2 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "id": "S4b_Ojzvqpi-"
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.applications import VGG16\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Dense, Flatten\n",
        "\n",
        "# Load pre-trained VGG16 model without top (output) layer\n",
        "base_model = VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n",
        "\n",
        "# Freeze the layers of the base model\n",
        "for layer in base_model.layers:\n",
        "    layer.trainable = False\n",
        "\n",
        "# Add new top layers for your specific task\n",
        "model = Sequential([\n",
        "    base_model,\n",
        "    Flatten(),\n",
        "    Dense(256, activation='relu'),\n",
        "    Dense(10, activation='softmax')\n",
        "])\n",
        "\n",
        "model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])\n"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2024-10-27T09:19:04.328186Z",
          "iopub.execute_input": "2024-10-27T09:19:04.328977Z",
          "iopub.status.idle": "2024-10-27T09:19:04.611930Z",
          "shell.execute_reply.started": "2024-10-27T09:19:04.328933Z",
          "shell.execute_reply": "2024-10-27T09:19:04.610951Z"
        },
        "trusted": true,
        "id": "MGt-xLY7qpi_"
      },
      "execution_count": null,
      "outputs": [],
      "id": "MGt-xLY7qpi_"
    },
    {
      "cell_type": "code",
      "source": [
        "model.summary()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2024-10-27T09:19:07.297760Z",
          "iopub.execute_input": "2024-10-27T09:19:07.298159Z",
          "iopub.status.idle": "2024-10-27T09:19:07.318078Z",
          "shell.execute_reply.started": "2024-10-27T09:19:07.298122Z",
          "shell.execute_reply": "2024-10-27T09:19:07.317135Z"
        },
        "trusted": true,
        "id": "tGciFIzyqpjB",
        "outputId": "35607fff-a273-488f-85ab-1d51f80c5f43"
      },
      "execution_count": null,
      "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│ vgg16 (\u001b[38;5;33mFunctional\u001b[0m)              │ ?                      │    \u001b[38;5;34m14,714,688\u001b[0m │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ flatten_1 (\u001b[38;5;33mFlatten\u001b[0m)             │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_2 (\u001b[38;5;33mDense\u001b[0m)                 │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_3 (\u001b[38;5;33mDense\u001b[0m)                 │ ?                      │   \u001b[38;5;34m0\u001b[0m (unbuilt) │\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│ vgg16 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Functional</span>)              │ ?                      │    <span style=\"color: #00af00; text-decoration-color: #00af00\">14,714,688</span> │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ flatten_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)             │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n├─────────────────────────────────┼────────────────────────┼───────────────┤\n│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ ?                      │   <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (unbuilt) │\n└─────────────────────────────────┴────────────────────────┴───────────────┘\n</pre>\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m14,714,688\u001b[0m (56.13 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\">14,714,688</span> (56.13 MB)\n</pre>\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "\u001b[1m 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\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n</pre>\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m14,714,688\u001b[0m (56.13 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\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">14,714,688</span> (56.13 MB)\n</pre>\n"
          },
          "metadata": {}
        }
      ],
      "id": "tGciFIzyqpjB"
    },
    {
      "cell_type": "code",
      "source": [
        "# Train the model with training and validation datasets\n",
        "history = model.fit(\n",
        "    train_images,\n",
        "    train_labels,\n",
        "    validation_data=(val_images, val_labels),  # Include validation data\n",
        "    epochs=10,\n",
        "    batch_size=32  # Optional: specify batch size if your model supports it\n",
        ")\n"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2024-10-27T09:19:09.827722Z",
          "iopub.execute_input": "2024-10-27T09:19:09.828580Z",
          "iopub.status.idle": "2024-10-27T09:21:40.245919Z",
          "shell.execute_reply.started": "2024-10-27T09:19:09.828540Z",
          "shell.execute_reply": "2024-10-27T09:21:40.245106Z"
        },
        "trusted": true,
        "id": "or0ncua-qpjC",
        "outputId": "2c736a48-6ba8-4c9f-b700-447a06b0c014"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "Epoch 1/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 251ms/step - accuracy: 0.4821 - loss: 22.0384 - val_accuracy: 0.6234 - val_loss: 2.2605\nEpoch 2/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m17s\u001b[0m 206ms/step - accuracy: 0.8602 - loss: 0.5241 - val_accuracy: 0.7054 - val_loss: 2.2940\nEpoch 3/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 204ms/step - accuracy: 0.9543 - loss: 0.1970 - val_accuracy: 0.7220 - val_loss: 2.4410\nEpoch 4/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 197ms/step - accuracy: 0.9786 - loss: 0.0862 - val_accuracy: 0.7317 - val_loss: 2.3705\nEpoch 5/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 194ms/step - accuracy: 0.9880 - loss: 0.0502 - val_accuracy: 0.7415 - val_loss: 2.6123\nEpoch 6/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 194ms/step - accuracy: 0.9913 - loss: 0.0325 - val_accuracy: 0.7249 - val_loss: 2.5950\nEpoch 7/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 196ms/step - accuracy: 0.9949 - loss: 0.0184 - val_accuracy: 0.7278 - val_loss: 2.8803\nEpoch 8/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 199ms/step - accuracy: 0.9972 - loss: 0.0060 - val_accuracy: 0.7395 - val_loss: 2.7337\nEpoch 9/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 199ms/step - accuracy: 0.9992 - loss: 0.0025 - val_accuracy: 0.7405 - val_loss: 2.7780\nEpoch 10/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 198ms/step - accuracy: 1.0000 - loss: 0.0018 - val_accuracy: 0.7376 - val_loss: 2.8050\n",
          "output_type": "stream"
        }
      ],
      "id": "or0ncua-qpjC"
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Plot training & validation accuracy values\n",
        "plt.plot(history.history['accuracy'])\n",
        "plt.plot(history.history['val_accuracy'])\n",
        "plt.title('Model accuracy')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "plt.show()\n",
        "\n",
        "# Plot training & validation loss values\n",
        "plt.plot(history.history['loss'])\n",
        "plt.plot(history.history['val_loss'])\n",
        "plt.title('Model loss')\n",
        "plt.ylabel('Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2024-10-27T09:22:23.588016Z",
          "iopub.execute_input": "2024-10-27T09:22:23.588396Z",
          "iopub.status.idle": "2024-10-27T09:22:24.208724Z",
          "shell.execute_reply.started": "2024-10-27T09:22:23.588359Z",
          "shell.execute_reply": "2024-10-27T09:22:24.207766Z"
        },
        "trusted": true,
        "id": "UrhZeUivqpjD",
        "outputId": "aafdcbab-797d-4fc7-a895-5852fb59e494"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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AAAgegkw3OWI8l5fokwEAoPcRZLopXOaSAQAgEhFkusnX8FsX4nPJAAAQiQgy3eQfkWlwt3srOQAACD6CTDfFxdhkyJDbNNXgIsgAANCbCDLdZDMMxfn7ZMLj8tJZZ52lefPm+d8PGjRIixcvbvcYwzD0yiuvdPu7g3UeAAAkgkxQ9GbD77Rp03Tuuee2+tm7774rwzD06aefduqcmzdv1g033BCM8vzuv//+VlcpP3jwoKZOnRrU7wIARC+CTBA0zSXT80Hm+uuv17p16/TNN9+0+Gz58uUaO3asRo0a1alzZmVlKTExMVgltis3N1cOh6NXvgsAEPkIMkHQNJdMz19auuCCC5SVlaUVK1YEbK+qqtLLL7+siy66SFdccYVOOOEEJSYmauTIkXrhhRfaPeexl5a+/PJLffe731V8fLxOOeUUrVu3rsUxd9xxh0466SQlJiZqyJAhuueee9TQ0CBJWrFihR544AFt3bpVhmHIMAx/vcdeWvrss8/0ve99TwkJCerbt69uuOEGVVVV+T+/5pprdNFFF+nxxx9XXl6e+vbtq9mzZ/u/CwAQ3SxdNDLkmKbUUNPpw+LdjTIaalTvtkn1Rte+OzZRMo5/bExMjP7zP/9TK1as0F133SXDe8zLL78sl8ulq666Si+//LLuuOMOpaam6u9//7uuvvpqFRQUaPz48cc9v9vt1sUXX6ycnBz985//VHl5eUA/jU9KSopWrFihfv366bPPPtNPfvITpaSk6H/+53902WWXadu2bXr99df1xhtvSJLS0tJanKO6ulpTpkzRxIkTtXnzZpWUlOjHP/6x5syZExDUNmzYoLy8PG3YsEG7du3SZZddpjFjxugnP/nJcX8eAEBkI8g011AjPdyv04clShrZ3e/+fwekuKQO7Xrdddfpscce09tvv62zzjpLkuey0owZMzRw4EDdfvvt/n3nzp2rtWvX6qWXXupQkHnjjTf0xRdfaO3aterXz/Nv8fDDD7foa7n77rv9rwcNGqTbb79dq1at0v/8z/8oISFBycnJiomJUW5ubpvftXLlStXV1em5555TUpLnZ1+yZImmTZumRYsWKScnR5KUkZGhJUuWyG63a9iwYTr//PO1fv16ggwAgEtL4WjYsGE644wz9Ic//EGStGvXLr377ru6/vrr5XK59NBDD2nkyJHq06ePkpOTtXbtWu3bt69D596+fbvy8/P9IUaSJk6c2GK/F198UZMmTVJubq6Sk5N19913d/g7mn/X6NGj/SFGkiZNmiS3260dO3b4t40YMUJ2u93/Pi8vTyUlJZ36LgBAZGJEprnYRM/ISBfsOVStKmej+qcnKCMprmvf3QnXX3+95s6dq1//+tdavny5CgoKdOaZZ2rRokX61a9+pcWLF2vkyJFKSkrSvHnzVF9f3/ma2vDhhx9q5syZeuCBBzRlyhSlpaVp1apVeuKJJ4L2Hc3FxsYGvDcMQ243S0IAAAgygQyjw5d3jhWXYMh018tpc0hxCUEurKVLL71UN998s1auXKnnnntOP/3pT2UYht5//31deOGFuuqqqyR5el527typU045pUPnHT58uAoLC3Xw4EHl5eVJkjZu3BiwzwcffKCBAwfqrrvu8m/bu3dvwD5xcXFyudpvfh4+fLhWrFih6upq/6jM+++/L5vNppNPPrlD9QIAohuXloLEt+ZSby0emZycrMsuu0x33nmnDh48qGuuuUaSdOKJJ2rdunX64IMPtH37dv3Xf/2XiouLO3zeyZMn66STTtKsWbO0detWvfvuuwGBxfcd+/bt06pVq7R79249+eSTWr16dcA+gwYN0p49e7RlyxYdOnRITqezxXfNnDlT8fHxmjVrlrZt26YNGzZo7ty5uvrqq/39MQAAtIcgEyS+SfHqemEuGZ/rr79eR48e1ZQpU/w9LXfffbe+9a1vacqUKTrrrLOUm5uriy66qMPntNlsWr16tWprazV+/Hj9+Mc/1oIFCwL2+eEPf6hbbrlFc+bM0ZgxY/TBBx/onnvuCdhnxowZOvfcc3X22WcrKyur1VvAExMTtXbtWh05ckTjxo3TJZdconPOOUdLlizp/D8GACAqGWaEr3RYUVGhtLQ0lZeXKzU1NeCzuro67dmzR4MHD1Z8fHy3vqe+0a0viipkyNCIE1Jl68Ct1Og5wfzdAgB6X3t/v5tjRCZIYu2GbIYhU6bqe+nyEgAA0Y4gEySGYfTqmksAAIAgE1RNDb/hsQo2AADhjiATRP4RmV5s+AUAIJoRZCQFq985nktLISPCe9gBAF5RHWR8M8bW1HR+ocjWNL+0xB9Sa/l+p8fOCgwAiCxRPbOv3W5Xenq6f92exMRE/2rSXeE2TamxXo2SqmpqFWuP6pxoCdM0VVNTo5KSEqWnpwes0QQAiDxRHWQk+VdnDtYihIfL69ToNmVWxPlHaND70tPT2115GwAQGaI+yBiGoby8PGVnZ6uhoaHb5/vd6s+08avDuumcE3XhmBOCUCE6KzY2lpEYAIgSUR9kfOx2e1D++PVNS9b+yhJtL6nTZcwoCwBAj6KJI8gKsjyrOO8urbK4EgAAIh9BJsiGZidLknaXEGQAAOhpBJkgG5LpCTIHyutU7Wy0uBoAACIbQSbIMpLi1DcpTpK051C1xdUAABDZCDI9oCDLMyqzi8tLAAD0KIJMDyjw9cnQ8AsAQI8iyPQA7lwCAKB3EGR6gH9EpoQeGQAAehJBpgcM9fbI7DlUrUYXK2EDANBTCDI94IT0BDlibKp3ufXN0VqrywEAIGIRZHqAzWZoSBYNvwAA9DSCTA+h4RcAgJ5HkOkhzCUDAEDPI8j0EP+aS6XcuQQAQE8hyPSQ5iMypmlaXA0AAJGJINNDBmcmyTCk8toGHamut7ocAAAiEkGmhyTE2XVCeoIk+mQAAOgpBJkeRJ8MAAA9iyDTgwqYSwYAgB5FkOlBBBkAAHoWQaYH+SbFo0cGAICeQZDpQb4emf1ltaqtd1lcDQAAkYcg04P6JMUpPTFWpulZCRsAAAQXQaYHGYZBnwwAAD2IINPD6JMBAKDnhHSQcblcuueeezR48GAlJCSooKBADz30UFhN+d80lwxBBgCAYIuxuoD2LFq0SEuXLtWzzz6rESNG6KOPPtK1116rtLQ03XTTTVaX1yFNl5bokQEAINhCOsh88MEHuvDCC3X++edLkgYNGqQXXnhBmzZtsriyjvMFma9Kq+R2m7LZDIsrAgAgcoT0paUzzjhD69ev186dOyVJW7du1XvvvaepU6daXFnH9c9IUJzdJmejW/vLaq0uBwCAiBLSIzLz589XRUWFhg0bJrvdLpfLpQULFmjmzJltHuN0OuV0Ov3vKyoqeqPUNsXYbRqcmaQdxZXaVVql/D6JltYDAEAkCekRmZdeeknPP/+8Vq5cqU8++UTPPvusHn/8cT377LNtHrNw4UKlpaX5H/n5+b1YcesKsj13Lu3mziUAAIIqpIPMz372M82fP1+XX365Ro4cqauvvlq33HKLFi5c2OYxd955p8rLy/2PwsLCXqy4dTT8AgDQM0L60lJNTY1stsCsZbfb5Xa72zzG4XDI4XD0dGmd4g8yjMgAABBUIR1kpk2bpgULFmjAgAEaMWKE/vWvf+kXv/iFrrvuOqtL6xTmkgEAoGeEdJB56qmndM899+jGG29USUmJ+vXrp//6r//Svffea3VpnTI409Mjc7i6Xker65WRFGdxRQAARIaQDjIpKSlavHixFi9ebHUp3ZLkiFG/tHgdKK/TV4eqdHpSH6tLAgAgIoR0s28kKfBeXmLNJQAAgocg00u4cwkAgOAjyPQS34gMdy4BABA8BJleUpDlnRSPO5cAAAgagkwvGeq9tLTvSI3qGlwWVwMAQGQgyPSSrBSHUuJj5DalvYdrrC4HAICIQJDpJYZhNGv45fISAADBQJDpRSxVAABAcBFkepFvFexdjMgAABAUBJleNJRLSwAABBVBphc1zSVTLbfbtLgaAADCH0GmFw3ok6gYm6HaBpeKKuqsLgcAgLBHkOlFsXabBvZNlMSaSwAABANBppcNzaZPBgCAYCHI9DLmkgEAIHgIMr2saS4ZVsEGAKC7CDK9zHfnEnPJAADQfQSZXuZbBbu00qny2gaLqwEAILwRZHpZSnysclIdkqSvGJUBAKBbCDIWaGr4pU8GAIDuIMhYwBdkmEsGAIDuIchYgLlkAAAIDoKMBZhLBgCA4CDIWKAg23Pn0r7DNWpwuS2uBgCA8EWQsUBuaryS4uxqdJvae5iGXwAAuoogYwHDMJomxmOGXwAAuowgYxH6ZAAA6D6CjEV8M/wSZAAA6DqCjEWaFo8kyAAA0FUEGYs0zSVTLdM0La4GAIDwRJCxyIC+ibLbDFU5G1VS6bS6HAAAwhJBxiKOGLsG9EmUxOUlAAC6iiBjIV/D7y4afgEA6BKCjIV8c8kwIgMAQNcQZCzUNJcMk+IBANAVBBkLMSkeAADdQ5Cx0FBvkDlYXqcqZ6PF1QAAEH4IMhZKS4xVZrJDkvQVozIAAHQaQcZiLFUAAEDXEWQs1nTnEg2/AAB0FkHGYr6G313cgg0AQKcRZCzWtOYSQQYAgM4iyFjM1yPz9eFqNbrcFlcDAEB4IchYrF9aguJjbWpwmSo8Wmt1OQAAhBWCjMVsNkNDMumTAQCgKwgyIYA+GQAAuoYgEwL8SxUwIgMAQKcQZEJAQTaT4gEA0BUEmRDQfC4Z0zQtrgYAgPBBkAkBgzOTZBhSRV2jDlXVW10OAABhgyATAuJj7crPSJTE5SUAADqDIBMiWDwSAIDOI8iECNZcAgCg8wgyIaJpLhlWwQYAoKMIMiGiIJu5ZAAA6CyCTIjwXVraX1ar2nqXxdUAABAeQj7I7N+/X1dddZX69u2rhIQEjRw5Uh999JHVZQVdn6Q4ZSTGSqLhFwCAjgrpIHP06FFNmjRJsbGxWrNmjf7973/riSeeUEZGhtWl9QjWXAIAoHNirC6gPYsWLVJ+fr6WL1/u3zZ48GALK+pZBVnJ2vz1URp+AQDooJAekXn11Vc1duxY/ehHP1J2drZOO+00/fa3v7W6rB7jXzySERkAADokpIPMV199paVLl+rEE0/U2rVr9dOf/lQ33XSTnn322TaPcTqdqqioCHiEC//ikdy5BABAh4T0pSW3262xY8fq4YcfliSddtpp2rZtm5555hnNmjWr1WMWLlyoBx54oDfLDJqhWSmSpK8OVcvlNmW3GRZXBABAaAvpEZm8vDydcsopAduGDx+uffv2tXnMnXfeqfLycv+jsLCwp8sMmhMyEhQXY1N9o1v7j9ZaXQ4AACEvpEdkJk2apB07dgRs27lzpwYOHNjmMQ6HQw6Ho6dL6xF2m6EhmUn6oqhSu0urNKBvotUlAQAQ0kJ6ROaWW27Rxo0b9fDDD2vXrl1auXKlli1bptmzZ1tdWo9hzSUAADoupIPMuHHjtHr1ar3wwgs69dRT9dBDD2nx4sWaOXOm1aX1mALmkgEAoMNC+tKSJF1wwQW64IILrC6j1xRkee9cIsgAAHBcIT0iE42a5pJhUjwAAI6HIBNihnhHZI5U1+tIdb3F1QAAENoIMiEmMS5GJ6QnSOLyEgAAx0OQCUH+hl/uXAIAoF0EmRBEwy8AAB1DkAlBzCUDAEDHEGRC0NBs7lwCAKAjCDIhyDciU3i0RnUNLourAQAgdBFkQlBmcpxS42NkmtLXhxmVAQCgLQSZEGQYhv/OJfpkAABoG0EmRA31zfBbwogMAABtIciEKBaPBADg+AgyIappzSWCDAAAbSHIhKjmk+K53abF1QAAEJq6FGQKCwv1zTff+N9v2rRJ8+bN07Jly4JWWLQb0CdRsXZDdQ1uHSivtbocAABCUpeCzJVXXqkNGzZIkoqKivT9739fmzZt0l133aUHH3wwqAVGqxi7TYP6+kZlaPgFAKA1XQoy27Zt0/jx4yVJL730kk499VR98MEHev7557VixYpg1hfV/H0y3IINAECruhRkGhoa5HA4JElvvPGGfvjDH0qShg0bpoMHDwavuihXkO0ZkdlFwy8AAK3qUpAZMWKEnnnmGb377rtat26dzj33XEnSgQMH1Ldv36AWGM38ay4xIgMAQKu6FGQWLVqk3/zmNzrrrLN0xRVXaPTo0ZKkV1991X/JCd3XdAs2PTIAALQmpisHnXXWWTp06JAqKiqUkZHh337DDTcoMTExaMVFuyHeIHOoyqnymgalJcZaXBEAAKGlSyMytbW1cjqd/hCzd+9eLV68WDt27FB2dnZQC4xmyY4Y5abGS6JPBgCA1nQpyFx44YV67rnnJEllZWWaMGGCnnjiCV100UVaunRpUAuMdkNZqgAAgDZ1Kch88skn+o//+A9J0p///Gfl5ORo7969eu655/Tkk08GtcBo13yGXwAAEKhLQaampkYpKSmSpH/84x+6+OKLZbPZ9O1vf1t79+4NaoHRzr94JKtgAwDQQpeCzNChQ/XKK6+osLBQa9eu1Q9+8ANJUklJiVJTU4NaYLRj8UgAANrWpSBz77336vbbb9egQYM0fvx4TZw4UZJndOa0004LaoHRztcjs+9IjZyNLourAQAgtHTp9utLLrlE3/nOd3Tw4EH/HDKSdM4552j69OlBKw5SdopDyY4YVTkbte9wjU7MSbG6JAAAQkaXgowk5ebmKjc3178Kdv/+/ZkMrwcYhqGCrCRt/aZcu0urCDIAADTTpUtLbrdbDz74oNLS0jRw4EANHDhQ6enpeuihh+R2u4NdY9Tz9cnsYqkCAAACdGlE5q677tLvf/97PfLII5o0aZIk6b333tP999+vuro6LViwIKhFRjv/nUssVQAAQIAuBZlnn31Wv/vd7/yrXkvSqFGjdMIJJ+jGG28kyAQZdy4BANC6Ll1aOnLkiIYNG9Zi+7Bhw3TkyJFuF4VAQ7O9k+KVVMk0TYurAQAgdHQpyIwePVpLlixpsX3JkiUaNWpUt4tCoAF9kmS3Gaqud6m4wml1OQAAhIwuXVp69NFHdf755+uNN97wzyHz4YcfqrCwUP/3f/8X1AIhxcXYNLBvor4qrdaukirlpsVbXRIAACGhSyMyZ555pnbu3Knp06errKxMZWVluvjii/X555/rj3/8Y7BrhOiTAQCgNV2eR6Zfv34tmnq3bt2q3//+91q2bFm3C0OggqxkrVMxQQYAgGa6NCKD3jc0mxEZAACORZAJEwVZnjuXmBQPAIAmBJkwMcTbI1Nc4VRlXYPF1QAAEBo61SNz8cUXt/t5WVlZd2pBO9ISYpWV4lBppVNflVZrdH661SUBAGC5TgWZtLS0437+n//5n90qCG0bmpWs0kqndpdWEWQAAFAng8zy5ct7qg50QEF2kj786jB9MgAAeNEjE0aYSwYAgEAEmTDSFGRYBRsAAIkgE1Z8c8nsPVytBpfb4moAALAeQSaM5KbGKzHOrgaXqX1HaqwuBwAAyxFkwojNZmiId2K83TT8AgBAkAk39MkAANCEIBNmhnLnEgAAfgSZMFPgbfhlLhkAAAgyYaf5XDKmaVpcDQAA1iLIhJlBmYmyGVJlXaNKq5xWlwMAgKUIMmHGEWPXgD6JkqTdJTT8AgCiG0EmDPkuL+2i4RcAEOUIMmHI1/DLXDIAgGgXVkHmkUcekWEYmjdvntWlWKrANykeIzIAgCgXNkFm8+bN+s1vfqNRo0ZZXYrlfGsufcWkeACAKBcWQaaqqkozZ87Ub3/7W2VkZFhdjuWGZHqCzP6yWlU7Gy2uBgAA64RFkJk9e7bOP/98TZ48+bj7Op1OVVRUBDwiTUZSnPomxUmS9hxiVAYAEL1CPsisWrVKn3zyiRYuXNih/RcuXKi0tDT/Iz8/v4crtEYBSxUAABDaQaawsFA333yznn/+ecXHx3fomDvvvFPl5eX+R2FhYQ9XaQ3uXAIAQIqxuoD2fPzxxyopKdG3vvUt/zaXy6V33nlHS5YskdPplN1uDzjG4XDI4XD0dqm9znfnEnPJAACiWUgHmXPOOUefffZZwLZrr71Ww4YN0x133NEixESTphEZemQAANErpINMSkqKTj311IBtSUlJ6tu3b4vt0Waot0dmz6Fqudym7DbD4ooAAOh9Id0jg7adkJ4gR4xN9S63vjlaY3U5AABYIqRHZFrz1ltvWV1CSLDZDA3JStb2gxXaVVKlgX2TrC4JAIBex4hMGGOpAgBAtCPIhDH/XDI0/AIAohRBJoz51lxiRAYAEK0IMmHMNyKzq7RKpmlaXA0AAL2PIBPGBmcmyTCkspoGHamut7ocAAB6HUEmjCXE2XVCeoIkaXcpfTIAgOhDkAlz9MkAAKIZQSbM+ftkWDwSABCFCDJhzn8LNiMyAIAoRJAJc0yKBwCIZgSZMOfrkfnmaK3qGlwWVwMAQO8iyIS5PklxSk+MlWlKX3HnEgAgyhBkwpxhGPTJAACiFkEmAtAnAwCIVgSZCNA0lwyXlgAA0YUgEwGYSwYAEK0IMhHAF2S+Kq2S283ikQCA6EGQiQD9MxIUZ7fJ2ejW/rJaq8sBAKDXEGQiQIzdpsGZNPwCAKIPQSZCFGR7ggx9MgCAaEKQiRBNc8lw5xIAIHoQZCIEk+IBAKIRQSZC+OaS+YogAwCIIgSZCOFr9j1UVa+ymnqLqwEAoHcQZCJEkiNG/dLiJXF5CQAQPQgyEaTAt1RBCQ2/AIDoQJCJIDT8AgCiDUEmgvhGZJhLBgAQLQgyEaQgi9l9AQDRJcbqAhA8Q72XlvYdqZGz0SVHjN3iigCEhPoaqeTfUn2VlJzjeSRkSIZhdWVAtxFkIkhWikMp8TGqrGvU3sM1OiknxeqSAPS2miPSwa1S0adS0WfSwU+lw19KpjtwP7vDE2hSvMEmJVdKzvW+b/aclCnZ+B9FCF0EmQhiGIYKspK1pbBMu0qqCDJAJDNNqWyfJ6wUfeoJLEWfShX7W98/KdszClNVLNWVSS6nVL7P82iPYZeSsloGnJTcwPCTlC3FxAX9xwSOhyATYXxBZjcNv0DkcDVKh3YGBpaizzyBpDUZg6W8UVLuKClvtJQ70hM6fBrqPIGmqliqLGr2XCRVFjc9V5dKpsvzvqpI0tb260zs2/qozrHPcYnB+peJTKYpuV2Su1FyN3ieXc1fe5/9r12ez1ps9x7jamznXO2dt73X3u91NXhe/8ft0vALLPnnIshEGN8q2DT8AmGqvloq/jwwtBT/2zOCcixbrJQ9TMr1hpW8UVLOqVJ8avvfERsvZQz0PNrjavSEmWMDTovnYs8fs5rDnkfJ5+2f15Ha7HJWa895ntDjSO2dPh632/Pv2+h9NH/d6JQa61pucx3zeWvHHW8fV33bISHcVJdY9tUEmQgzlFWwgfBRfajlKMuhLyWZLfeNS5FyT/WOsozyBJes4T17OcceI6XmeR7tcbul2iOtj+oc+9xYKzkrPI/DX7Z/3piE1kd1HKldCw5thZRwCQ62GO8j1vO7afV1rKenyRbr2WaPbTquxWvvvq3uc8x5bTHe922cN/sUy/5ZCDIRxj+7b2mV3G5TNht3JQCWM02pbK83sDTraak80Pr+yTmBgSV3lOdykS1EZ8yw2TxNwUmZkk5tez/T9ASYFgGn6JjLXMWSs9wTeo5+7Xn0GkOKifcExJh4T1N0TPNHvGSPO2Yf33vvPvZm+7a7T1znAgd3mbWKIBNhBvRJVIzNUE29S0UVdeqXnmB1SUB0cTVIpTuOacL9zPOHuTV9CpouC/kuEaXk9G7NvcUwpPg0zyPrpPb3ra9po4+n2HMbuf044SIgUBwvgDTbZoshMIQZgkyEibXbNLBvonaXVmt3aRVBBuhJzqqmfhZfaCnZ3k4/y/CmJtzcUZ5LRQ7uLmxVXKLUZ7DnAbSDIBOBhmYne4JMSZX+48Qsq8tBtHG7PJcCDu2UGmo8t+/a7Mc82yTD1spntlb2bW+70fb5g62qVCra2jQ3S9Gn0uHdarWfxZHqvSQ0sukSUebJ3J4M9ACCTATyLB5ZrF3cuYSe1OiUDu+SSr+QSndKh3Z4ng9/6bkbw2ptBqhOhCHf+/JvpMqDrX9Pcm6zURbvJaL0QaHbzwJEGIJMBPKvgl3CnUsIAmdls6CywzPSUvqFZ9Tl2NlifWISpMyhUny6Z4TGdDU9m27PXS7Nt/mfW9vubv0cx2O6JJcriP8QhtS3IHCUJXeUlJwdxO8A0FkEmQjU/M4loMOqD3mDindkpfQLT2hpa6ZYSXKkSVknexo3M0+WsoZ5XqcN6NkRCdNsPeC4Xd7POhqSOrg9KVPKGUE/CxCCCDIRyLcKdkmlUxV1DUqNj7W4IoQM0/QEk+YjK77RlprDbR+XnCNlnuQNLcOaXifnWHOHR/PLQQCiGkEmAqXExyon1aHiCqd2l1TptAEZVpeE3uZq9MxbUrqjaWSldIdnsrX6yraPSx/gHVnxPjK9oy0J/DcEIDQRZCJUQVayJ8iUVkdekDl2nRjfbKLVpZ5bXOOSpLhk73Mrrx3HvLeH8YhVqw23Ozzb2mq4tcVIfYY0Cyone0ZYMk/0/JsAQBghyESogqxkfbD7cHj1yTirWi5eV3mw5YRYbS2U11X2uFYCT3th6DhBKS7ZMwFXMC+5HNtw6+tlOW7D7YmBIytZwzwzxHIbMIAIQZCJUEN9Db9Wr4Jtmp7g0dqaK8eGlPpO1GqPa7b+ineRueRsT2NmfZX3Ue19NH/d7L1vxMJVL9XWS7VHg/dzG/bjhJ92wlBsQlMfi6+XJRQbbgEgBBBkIpTvFuwem0vG7fY0h7a1XopvVKWqxLMoW0fFJrWySFxuy9VxEzK6P+LRWC81tBJwWn3fgWDkrPKsDSN57nZxlrc9LX1XhFrDLQCEAIJMhCrI9vQ67DtcowaXW7H2Dv4vc1ejZzn2Fou4+Z4PeoJLdYlnufmOik9ruYJtSl6zcOJb1bYXb2+NifM8gtnI6nZ1Lwz5Xifn0HALAB1AkAkFpukJBa4Gz2UOV4NnWXnfa/+z97W72WtXvSd8+F67Pa9zG+t1W9y/5XY3qOq195ThUNvnbKzzhpdiT8Nsa1OutyUxs+VoiX8Epdmln9goWfPJZpfiUz0PAECPI8h01acvS3vfD0ro6Inp3A1Jc22SbJL+1dmD7Z5+k2PDybEhJTk7vO/4AQCEPYJMV+19X/p4ec+d3xbrCQn2WE9jq63Za3ucZI9pem1r9rrZMR98XaEvD9Vp9MBsjRmU1ez4Y84Z4/COrHgv9yT2ZaIxAEBYIMh01clTPX/0OxkuZI/1BohWtjcPF0Fo3vzkzS/1+D926uK0EzTm+2O6/zMDABBiCDJdddIUzyOE+RePLGXxSABAZGKSiQjmm0vmq5IqmWYnGngBAAgTBJkINqBvouw2Q5XORpVUOq0uBwCAoAvpILNw4UKNGzdOKSkpys7O1kUXXaQdO3ZYXVbYcMTYNaBPoqQQmOEXAIAeENJB5u2339bs2bO1ceNGrVu3Tg0NDfrBD36g6mp6PjqqIMszMV5YrbkEAEAHhXSz7+uvvx7wfsWKFcrOztbHH3+s7373uxZVFV4KspP1xvYSGn4BABEppIPMscrLPevW9OnTp819nE6nnM6mfpCKiooeryuU+ddc4tISACAChfSlpebcbrfmzZunSZMm6dRTT21zv4ULFyotLc3/yM/P78UqQ0/TLdgEGQBA5AmbIDN79mxt27ZNq1atane/O++8U+Xl5f5HYWFhL1UYmoZ6g8zB8jpVOTuxyCMAAGEgLC4tzZkzR6+99preeecd9e/fv919HQ6HHA5HL1UW+tISY5WZ7NChKqf2lFZrZP80q0sCACBoQnpExjRNzZkzR6tXr9abb76pwYMHW11SWPLdubSrtNLiSgAACK6QDjKzZ8/Wn/70J61cuVIpKSkqKipSUVGRamtrrS4trBR4Z/jdXcKdSwCAyBLSQWbp0qUqLy/XWWedpby8PP/jxRdftLq0sELDLwAgUoV0jwzrAwWHb80lggwAINKE9IgMgsPXI7PnULUaXW6LqwEAIHgIMlGgX1qC4mNtanCZKjxKfxEAIHIQZKKAzWZoSKav4ZfLSwCAyEGQiRL0yQAAIhFBJkqw5hIAIBIRZKJEQban4ZcRGQBAJCHIRImmuWSqua0dABAxCDJRYnBmkgxDKq9t0OHqeqvLAQAgKAgyUSI+1q78jERJ9MkAACIHQSaK+CbGo08GABApCDJRxN8nw+KRAIAIQZCJIswlAwCINASZKFKQzVwyAIDIQpCJIr5LS/vLalVb77K4GgAAuo8gE0X6JMUpIzFWkvTVIUZlAADhjyATZZr6ZGj4BQCEP4JMlGHNJQBAJCHIRJmmpQoIMgCA8EeQiTL+xSMZkQEARACCTJQZmpUiSdpzqFouN4tHAgDCG0EmypyQkaC4GJucjW7tP1prdTkAAHQLQSbK2G2GhmSy5hIAIDIQZKIQDb8AgEhBkIlCBay5BACIEASZKFSQ5bm0xFwyAIBwR5CJQk2XlpjdFwAQ3ggyUWiId0TmSHW9jlTXW1wNAABdR5CJQolxMTohPUGS9BV9MgCAMEaQiVK+hl/6ZAAA4YwgE6V8Db/cuQQACGcEmShFwy8AIBIQZKLUUOaSAQBEAIJMlPKNyBQeqVFdg8viagAA6BqCTJTKTI5TanyM3Kb09WEuLwEAwhNBJkoZhtG0VEEJQQYAEJ4IMlFsKItHAgDCHEEmijGXDAAg3BFkolgBIzIAgDBHkIlivknxviqtltttWlwNAACdR5CJYgP6JCrWbqi2waWDFXVWlwMAQKcRZKJYjN2mQX09ozL0yQAAwhFBJsr5+mQ2fFGikkpGZQAA4SXG6gJgrZNykvX659KKD77Wig++Vr+0eI3OT/c8+qdrZP80JTv4zwQAEJr4CxXlrp44SKVV9fpk71HtLKnUgfI6HSgv0pptRZIkw/DMN+MLN2P6p+vk3BTFxTCYBwCwnmGaZkTfrlJRUaG0tDSVl5crNTXV6nJCWpWzUdv2l2trYZm2flOmrYXl2l9W22K/uBibRvRL1ej+6RqTn65R/dM0qG+SbDbDgqoBAJGoo3+/CTJoV2mlU59+U6athWXa8o0n5JTXNrTYLzU+xn85yvOcpuzUeAsqBgBEAoKMF0EmuEzT1N7DNf4Rm63flGnb/nI5G90t9u2XFq9RvmCTn6aRJ6QpJT7WgqoBAOGGIONFkOl5DS63dhRVesONJ+B8WVKpY+fYC+i36Z+m0fnpGpabSr8NAKAFgowXQcYa1b5+G+/IzZbCstb7bew2ndIvVWO8ozaj+6fTbwMAIMj4EGRCh7/f5pumhuKympb9NinxMd5emzR/QzH9NgAQXQgyXgSZ0GWapvYdqdEW7+WoT78p02dt9NvkpcUHNBKP7E+/DQBEMoKMF0EmvDS43NpZXOlpJPaO2uwsbr3fpiAr2TtiQ78NAEQagowXQSb8VTsb9fmBCu8t4J6G4m+Otuy3ibUbykp2KD0xTumJscrwPvtepyV4njOSYpWWEKeMxFilJcQqxk74AYBQ09G/38zsi5CX5IjR+MF9NH5wH/+2Q1Wefpst3ktSWwvLdLSmwTszcefWjEqJj2kWeuKUnhCrDN9rXwjyPmckxio9IU4p8TE0JANACGBEBhHBNE0dKK/ToUqnjtbUq7y2QUer63W0psHzuqZeZTUNKqvxbCurqVdFXWOXv89myD/Ck94s9KR7R3rSk3yBKHBUKDHOLsMgAAHA8TAig6hiGIZOSE/QCekJHT6m0eVWRV2jN+R4go4v5Hhe16us1ht+qpsCUU29S25TOurdvzPi7DalJca2GnKaj/rEx9rliLErLsYmh//R9N73zGUxANEuLILMr3/9az322GMqKirS6NGj9dRTT2n8+PFWl4UwF2O3qU9SnPokxXXqOGejS+XNQo9n1KfeG2zqvZ95t9c0jQbVu9yqd7lVWulUaaUzKD+DzVCLgBN3TOhxBIQfu+LsNjlibc2e7ce8b9q3xbHHBCnf9li7wUgTAEuEfJB58cUXdeutt+qZZ57RhAkTtHjxYk2ZMkU7duxQdna21eUhCjli7MpOtXdqbhvTNFXb4AoY8fGP+jQbDfIFotp6l+pdbjkbXapvdMvZ6PY/u5rdwuU2pdoGl2obXD3xo3ZK82Dje223GbIZkiFDhuEZObMZnrvObIYhQ55tzd/bDEMy5D/OZvNu837W+rFN+7b4roBzNn2Hb5+A441W6rEZshmGYmyGYuyGYu0272tb0zabTTH2Ztts3v3shmJ8nwVsa9ruP5//HJ7z0YMFdEzI98hMmDBB48aN05IlSyRJbrdb+fn5mjt3rubPn3/c4+mRQaRxuU1vqGkKOc7G1kNPfaNb9S6XnA2e0aCmZ5ecAe+btte73Mecp63ztpzvB8FjM9RGCArcZveGqthmQcvuDUax9qbP7N7PmwJeU3CzNQt0ntetvJfntc3whDuj2TmaB0Pfe5snaQa894VMmxEYOm3H1OCvSfLs1/y977sk7//xnEeer/Nt8v8MzXbzvm99X98nRivnVLPjj91+7LbA7/KeqUUdRiv7ta/piOPs1wP5tyPnTE+MU7IjuGMjEdEjU19fr48//lh33nmnf5vNZtPkyZP14YcftnqM0+mU09k0bF9RUdHjdQK9yW4zlBBnV0Kc3dI63G7TO2rUFGx8QcjZ0DR6ZMqUaUqmKblNU6Y8z/K9b7bd9L9vbVvb+5oyPXMNmZ5n0/d87PFqOk97xx+7r8ttyuU21eByq9FlqsHtefZva/ZZo9vzvtHV9Fmjq2lbo9utBlezbd5zt/j3NeW9HNl7v1Ogqx6ePlJXThhgyXeHdJA5dOiQXC6XcnJyArbn5OToiy++aPWYhQsX6oEHHuiN8oCoZrMZirfZFR9rbaCKBG5voGkeghpdbjV4Q1DDMaEpYJs3VPn2d/mDUsvQ5HI3D4VNYc0X3nzh0m0GBj53s+2SKbe76b0vqLqbhcim983Cou+9jnnf5rEKrNH7nVJTbZ5qvM/efZtv9AXZwP08NfteN3/WMfs3fYfZ7Nhjj2m/lqbvaL2+jujohZOOn6+DO6rpZz8eK+87COkg0xV33nmnbr31Vv/7iooK5efnW1gRALTPZjMUZzMUJ+5CAzorpINMZmam7Ha7iouLA7YXFxcrNze31WMcDoccDkdvlAcAACwW0vE/Li5Op59+utavX+/f5na7tX79ek2cONHCygAAQCgI6REZSbr11ls1a9YsjR07VuPHj9fixYtVXV2ta6+91urSAACAxUI+yFx22WUqLS3Vvffeq6KiIo0ZM0avv/56iwZgAAAQfUJ+HpnuYh4ZAADCT0f/fod0jwwAAEB7CDIAACBsEWQAAEDYIsgAAICwRZABAABhiyADAADCFkEGAACELYIMAAAIWwQZAAAQtkJ+iYLu8k1cXFFRYXElAACgo3x/t4+3AEHEB5nKykpJUn5+vsWVAACAzqqsrFRaWlqbn0f8Wktut1sHDhxQSkqKDMMI2nkrKiqUn5+vwsJC1nAKEfxOQgu/j9DC7yO08Ps4PtM0VVlZqX79+slma7sTJuJHZGw2m/r3799j509NTeU/whDD7yS08PsILfw+Qgu/j/a1NxLjQ7MvAAAIWwQZAAAQtggyXeRwOHTffffJ4XBYXQq8+J2EFn4foYXfR2jh9xE8Ed/sCwAAIhcjMgAAIGwRZAAAQNgiyAAAgLBFkAEAAGGLINNFv/71rzVo0CDFx8drwoQJ2rRpk9UlRaWFCxdq3LhxSklJUXZ2ti666CLt2LHD6rLg9cgjj8gwDM2bN8/qUqLa/v37ddVVV6lv375KSEjQyJEj9dFHH1ldVlRyuVy65557NHjwYCUkJKigoEAPPfTQcdcTQtsIMl3w4osv6tZbb9V9992nTz75RKNHj9aUKVNUUlJidWlR5+2339bs2bO1ceNGrVu3Tg0NDfrBD36g6upqq0uLeps3b9ZvfvMbjRo1yupSotrRo0c1adIkxcbGas2aNfr3v/+tJ554QhkZGVaXFpUWLVqkpUuXasmSJdq+fbsWLVqkRx99VE899ZTVpYUtbr/uggkTJmjcuHFasmSJJM96Tvn5+Zo7d67mz59vcXXRrbS0VNnZ2Xr77bf13e9+1+pyolZVVZW+9a1v6emnn9bPf/5zjRkzRosXL7a6rKg0f/58vf/++3r33XetLgWSLrjgAuXk5Oj3v/+9f9uMGTOUkJCgP/3pTxZWFr4Ykemk+vp6ffzxx5o8ebJ/m81m0+TJk/Xhhx9aWBkkqby8XJLUp08fiyuJbrNnz9b5558f8P8nsMarr76qsWPH6kc/+pGys7N12mmn6be//a3VZUWtM844Q+vXr9fOnTslSVu3btV7772nqVOnWlxZ+Ir4RSOD7dChQ3K5XMrJyQnYnpOToy+++MKiqiB5RsbmzZunSZMm6dRTT7W6nKi1atUqffLJJ9q8ebPVpUDSV199paVLl+rWW2/V//t//0+bN2/WTTfdpLi4OM2aNcvq8qLO/PnzVVFRoWHDhslut8vlcmnBggWaOXOm1aWFLYIMIsbs2bO1bds2vffee1aXErUKCwt18803a926dYqPj7e6HMgT8MeOHauHH35YknTaaadp27ZteuaZZwgyFnjppZf0/PPPa+XKlRoxYoS2bNmiefPmqV+/fvw+uogg00mZmZmy2+0qLi4O2F5cXKzc3FyLqsKcOXP02muv6Z133lH//v2tLidqffzxxyopKdG3vvUt/zaXy6V33nlHS5YskdPplN1ut7DC6JOXl6dTTjklYNvw4cP1l7/8xaKKotvPfvYzzZ8/X5dffrkkaeTIkdq7d68WLlxIkOkiemQ6KS4uTqeffrrWr1/v3+Z2u7V+/XpNnDjRwsqik2mamjNnjlavXq0333xTgwcPtrqkqHbOOefos88+05YtW/yPsWPHaubMmdqyZQshxgKTJk1qMSXBzp07NXDgQIsqim41NTWy2QL/9NrtdrndbosqCn+MyHTBrbfeqlmzZmns2LEaP368Fi9erOrqal177bVWlxZ1Zs+erZUrV+pvf/ubUlJSVFRUJElKS0tTQkKCxdVFn5SUlBb9SUlJSerbty99Sxa55ZZbdMYZZ+jhhx/WpZdeqk2bNmnZsmVatmyZ1aVFpWnTpmnBggUaMGCARowYoX/961/6xS9+oeuuu87q0sKXiS556qmnzAEDBphxcXHm+PHjzY0bN1pdUlSS1Opj+fLlVpcGrzPPPNO8+eabrS4jqv3v//6veeqpp5oOh8McNmyYuWzZMqtLiloVFRXmzTffbA4YMMCMj483hwwZYt51112m0+m0urSwxTwyAAAgbNEjAwAAwhZBBgAAhC2CDAAACFsEGQAAELYIMgAAIGwRZAAAQNgiyAAAgLBFkAEQdQzD0CuvvGJ1GQCCgCADoFddc801MgyjxePcc8+1ujQAYYi1lgD0unPPPVfLly8P2OZwOCyqBkA4Y0QGQK9zOBzKzc0NeGRkZEjyXPZZunSppk6dqoSEBA0ZMkR//vOfA47/7LPP9L3vfU8JCQnq27evbrjhBlVVVQXs84c//EEjRoyQw+FQXl6e5syZE/D5oUOHNH36dCUmJurEE0/Uq6++2rM/NIAeQZABEHLuuecezZgxQ1u3btXMmTN1+eWXa/v27ZKk6upqTZkyRRkZGdq8ebNefvllvfHGGwFBZenSpZo9e7ZuuOEGffbZZ3r11Vc1dOjQgO944IEHdOmll+rTTz/Veeedp5kzZ+rIkSO9+nMCCAKrV60EEF1mzZpl2u12MykpKeCxYMEC0zQ9K5r/93//d8AxEyZMMH/605+apmmay5YtMzMyMsyqqir/53//+99Nm81mFhUVmaZpmv369TPvuuuuNmuQZN59993+91VVVaYkc82aNUH7OQH0DnpkAPS6s88+W0uXLg3Y1qdPH//riRMnBnw2ceJEbdmyRZK0fft2jR49WklJSf7PJ02aJLfbrR07dsgwDB04cEDnnHNOuzWMGjXK/zopKUmpqakqKSnp6o8EwCIEGQC9LikpqcWlnmBJSEjo0H6xsbEB7w3DkNvt7omSAPQgemQAhJyNGze2eD98+HBJ0vDhw7V161ZVV1f7P3///fdls9l08sknKyUlRYMGDdL69et7tWYA1mBEBkCvczqdKioqCtgWExOjzMxMSdLLL7+ssWPH6jvf+Y6ef/55bdq0Sb///e8lSTNnztR9992nWbNm6f7771dpaanmzp2rq6++Wjk5OZKk+++/X//93/+t7OxsTZ06VZWVlXr//fc1d+7c3v1BAfQ4ggyAXvf6668rLy8vYNvJJ5+sL774QpLnjqJVq1bpxhtvVF5enl544QWdcsopkqTExEStXbtWN998s8aNG6fExETNmDFDv/jFL/znmjVrlurq6vTLX/5St99+uzIzM3XJJZf03g8IoNcYpmmaVhcBAD6GYWj16tW66KKLrC4FQBigRwYAAIQtggwAAAhb9MgACClc7QbQGYzIAACAsEWQAQAAYYsgAwAAwhZBBgAAhC2CDAAACFsEGQAAELYIMgAAIGwRZAAAQNgiyAAAgLD1/wGeI7ix5L07RwAAAABJRU5ErkJggg=="
          },
          "metadata": {}
        }
      ],
      "id": "UrhZeUivqpjD"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Fine tuning"
      ],
      "metadata": {
        "id": "1pvV2okjqpjE"
      },
      "id": "1pvV2okjqpjE"
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.applications import ResNet50\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Dense, Flatten\n",
        "\n",
        "# Load pre-trained ResNet50 model without top layer\n",
        "base_model = ResNet50(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n",
        "\n",
        "# Freeze all layers initially\n",
        "for layer in base_model.layers:\n",
        "    layer.trainable = False\n",
        "\n",
        "# Add new top layers for your specific task\n",
        "model = Sequential([\n",
        "    base_model,\n",
        "    Flatten(),\n",
        "    Dense(256, activation='relu'),\n",
        "    Dense(10, activation='softmax')\n",
        "])\n",
        "\n",
        "# Train the new layers first\n",
        "model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])\n",
        "# Train the model with training and validation datasets\n",
        "history1 = model.fit(\n",
        "    train_images,\n",
        "    train_labels,\n",
        "    validation_data=(val_images, val_labels),  # Include validation data\n",
        "    epochs=10,\n",
        "    batch_size=32  # Optional: specify batch size if your model supports it\n",
        ")\n",
        "# Now unfreeze some layers and fine-tune them\n",
        "for layer in base_model.layers[-10:]:  # Unfreeze last 10 layers for fine-tuning\n",
        "    layer.trainable = True\n",
        "\n",
        "# Re-compile the model with a lower learning rate for fine-tuning\n",
        "model.compile(optimizer=tf.keras.optimizers.Adam(1e-5), loss='categorical_crossentropy', metrics=['accuracy'])\n",
        "# Train the model with training and validation datasets\n",
        "history2 = model.fit(\n",
        "    train_images,\n",
        "    train_labels,\n",
        "    validation_data=(val_images, val_labels),  # Include validation data\n",
        "    epochs=10,\n",
        "    batch_size=32  # Optional: specify batch size if your model supports it\n",
        ")\n"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2024-10-27T09:50:58.308242Z",
          "iopub.execute_input": "2024-10-27T09:50:58.308635Z",
          "iopub.status.idle": "2024-10-27T09:55:01.102567Z",
          "shell.execute_reply.started": "2024-10-27T09:50:58.308599Z",
          "shell.execute_reply": "2024-10-27T09:55:01.101758Z"
        },
        "trusted": true,
        "id": "ps4DMAZqqpjE",
        "outputId": "e9f66662-f85e-4d61-dde6-fb51c036fef6"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5\n\u001b[1m94765736/94765736\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\nEpoch 1/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 284ms/step - accuracy: 0.5510 - loss: 11.7433 - val_accuracy: 0.7454 - val_loss: 1.2464\nEpoch 2/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 133ms/step - accuracy: 0.9208 - loss: 0.2676 - val_accuracy: 0.7707 - val_loss: 1.3863\nEpoch 3/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 131ms/step - accuracy: 0.9808 - loss: 0.0602 - val_accuracy: 0.8078 - val_loss: 1.2657\nEpoch 4/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 129ms/step - accuracy: 0.9957 - loss: 0.0105 - val_accuracy: 0.8176 - val_loss: 1.2259\nEpoch 5/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 128ms/step - accuracy: 0.9992 - loss: 0.0101 - val_accuracy: 0.8156 - val_loss: 1.3167\nEpoch 6/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 127ms/step - accuracy: 1.0000 - loss: 0.0015 - val_accuracy: 0.8332 - val_loss: 1.2256\nEpoch 7/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 127ms/step - accuracy: 0.9951 - loss: 0.0185 - val_accuracy: 0.8185 - val_loss: 1.3136\nEpoch 8/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 127ms/step - accuracy: 0.9993 - loss: 0.0022 - val_accuracy: 0.8127 - val_loss: 1.2445\nEpoch 9/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 128ms/step - accuracy: 1.0000 - loss: 2.3938e-04 - val_accuracy: 0.8224 - val_loss: 1.2308\nEpoch 10/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 129ms/step - accuracy: 1.0000 - loss: 1.2889e-04 - val_accuracy: 0.8224 - val_loss: 1.2302\nEpoch 1/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 273ms/step - accuracy: 1.0000 - loss: 7.6063e-04 - val_accuracy: 0.8244 - val_loss: 1.1786\nEpoch 2/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 143ms/step - accuracy: 1.0000 - loss: 1.3289e-04 - val_accuracy: 0.8234 - val_loss: 1.1837\nEpoch 3/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 144ms/step - accuracy: 1.0000 - loss: 9.0267e-05 - val_accuracy: 0.8244 - val_loss: 1.1882\nEpoch 4/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 143ms/step - accuracy: 1.0000 - loss: 6.1946e-05 - val_accuracy: 0.8244 - val_loss: 1.1939\nEpoch 5/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 140ms/step - accuracy: 1.0000 - loss: 4.8795e-05 - val_accuracy: 0.8254 - val_loss: 1.1974\nEpoch 6/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 139ms/step - accuracy: 1.0000 - loss: 3.7935e-05 - val_accuracy: 0.8234 - val_loss: 1.2019\nEpoch 7/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 138ms/step - accuracy: 1.0000 - loss: 3.7436e-05 - val_accuracy: 0.8234 - val_loss: 1.2022\nEpoch 8/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 138ms/step - accuracy: 1.0000 - loss: 2.8246e-05 - val_accuracy: 0.8244 - val_loss: 1.2066\nEpoch 9/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 138ms/step - accuracy: 1.0000 - loss: 2.1838e-05 - val_accuracy: 0.8254 - val_loss: 1.2091\nEpoch 10/10\n\u001b[1m72/72\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 139ms/step - accuracy: 1.0000 - loss: 2.0131e-05 - val_accuracy: 0.8254 - val_loss: 1.2121\n",
          "output_type": "stream"
        }
      ],
      "id": "ps4DMAZqqpjE"
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Plot training & validation accuracy values\n",
        "plt.plot(history2.history['accuracy'])\n",
        "plt.plot(history2.history['val_accuracy'])\n",
        "plt.title('Model accuracy')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "plt.show()\n",
        "\n",
        "# Plot training & validation loss values\n",
        "plt.plot(history2.history['loss'])\n",
        "plt.plot(history2.history['val_loss'])\n",
        "plt.title('Model loss')\n",
        "plt.ylabel('Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "plt.show()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2024-10-27T09:56:44.388693Z",
          "iopub.execute_input": "2024-10-27T09:56:44.389554Z",
          "iopub.status.idle": "2024-10-27T09:56:44.935320Z",
          "shell.execute_reply.started": "2024-10-27T09:56:44.389510Z",
          "shell.execute_reply": "2024-10-27T09:56:44.934358Z"
        },
        "trusted": true,
        "id": "EWpRsUImqpjF",
        "outputId": "47a38522-a251-418e-bc86-4d476086f09c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "id": "EWpRsUImqpjF"
    }
  ]
}