A2_Q3_MobileNet_TransferLearning.ipynb

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      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/mehrotrasan16/Keras-Deep-Learning/blob/02-HorsesvHumans-MobileNet-TransferLearning/A2_Q3_MobileNet_TransferLearning.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": "markdown",
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      "source": [
        "# Imports"
      ]
    },
    {
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      "metadata": {
        "id": "ePCGXBMqMQK7"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import tensorflow as tf\n",
        "import tensorflow_datasets as tfds\n",
        "from tensorflow import keras"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "p90uP1KLpEDZ"
      },
      "source": [
        "# Loading and Preprocessing the Data"
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      "source": [
        "(raw_data, raw_validation,raw_test), metadata = tfds.load(\n",
        "    'horses_or_humans',\n",
        "    split=['train[:80%]','train[80%:90%]','train[90%:]'],\n",
        "    with_info=True,\n",
        "    as_supervised=True\n",
        ")  "
      ],
      "execution_count": 2,
      "outputs": [
        {
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          "text": [
            "\u001b[1mDownloading and preparing dataset horses_or_humans/3.0.0 (download: 153.59 MiB, generated: Unknown size, total: 153.59 MiB) to /root/tensorflow_datasets/horses_or_humans/3.0.0...\u001b[0m\n"
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        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/urllib3/connectionpool.py:847: InsecureRequestWarning: Unverified HTTPS request is being made. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings\n",
            "  InsecureRequestWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/urllib3/connectionpool.py:847: InsecureRequestWarning: Unverified HTTPS request is being made. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings\n",
            "  InsecureRequestWarning)\n"
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            "\n",
            "\n",
            "\n",
            "\n"
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        {
          "output_type": "stream",
          "text": [
            "\rShuffling and writing examples to /root/tensorflow_datasets/horses_or_humans/3.0.0.incompleteP1EK77/horses_or_humans-train.tfrecord\n"
          ],
          "name": "stdout"
        },
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          "text": [
            "\r"
          ],
          "name": "stdout"
        },
        {
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          "text": [
            "\rShuffling and writing examples to /root/tensorflow_datasets/horses_or_humans/3.0.0.incompleteP1EK77/horses_or_humans-test.tfrecord\n"
          ],
          "name": "stdout"
        },
        {
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          "text": [
            "\u001b[1mDataset horses_or_humans downloaded and prepared to /root/tensorflow_datasets/horses_or_humans/3.0.0. Subsequent calls will reuse this data.\u001b[0m\n"
          ],
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        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1kMwlxpKKTiO",
        "outputId": "900d2599-c4f1-4c37-e4e0-943100b6e4f5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "print(raw_data,raw_validation,raw_test)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<DatasetV1Adapter shapes: ((300, 300, 3), ()), types: (tf.uint8, tf.int64)> <DatasetV1Adapter shapes: ((300, 300, 3), ()), types: (tf.uint8, tf.int64)> <DatasetV1Adapter shapes: ((300, 300, 3), ()), types: (tf.uint8, tf.int64)>\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "niWGT8GkLZmE"
      },
      "source": [
        "get_label_name = metadata.features['label'].int2str"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B28kxnT-MCra",
        "outputId": "e08f1b13-e3df-443e-cf5f-569bf821a77d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 545
        }
      },
      "source": [
        "for image,label in raw_data.shuffle(1024).take(2):\n",
        "    plt.figure()\n",
        "    plt.imshow(image)\n",
        "    plt.title(get_label_name(label))"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yvIAVVTCMkrs"
      },
      "source": [
        "IMG_SIZE=160\n",
        "\n",
        "def format_example(image,label):\n",
        "    image=tf.cast(image,tf.float32)\n",
        "    #normalizing the values\n",
        "    image=(image/127.5) - 1\n",
        "    #scaling the image\n",
        "    image=tf.image.resize(image,(IMG_SIZE,IMG_SIZE))\n",
        "    return image,label"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RV2NCkyVZE8R"
      },
      "source": [
        "train = raw_data.map(format_example)\n",
        "validation=raw_validation.map(format_example)\n",
        "test=raw_test.map(format_example)"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RXLYQi3FiYO4",
        "outputId": "ada65ab9-5eaa-4a50-924a-b4b0f5caceb9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "validation,test"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(<DatasetV1Adapter shapes: ((160, 160, 3), ()), types: (tf.float32, tf.int64)>,\n",
              " <DatasetV1Adapter shapes: ((160, 160, 3), ()), types: (tf.float32, tf.int64)>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9UJOhqNKGDte"
      },
      "source": [
        "# Batching the Data\""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Dzd-zNQGZMij",
        "outputId": "4b292c7e-7941-418e-c4af-c6215438c9f6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "BATCH_SIZE=32\n",
        "SHUFFLE_BUFFER_SIZE=1000\n",
        "\n",
        "train_batches = train.shuffle(SHUFFLE_BUFFER_SIZE).batch(BATCH_SIZE)\n",
        "validation_batches=validation.batch(BATCH_SIZE)\n",
        "test_batches=test.batch(BATCH_SIZE)\n",
        "\n",
        "for image_batch,label_batch in train_batches.take(1):\n",
        "    pass\n",
        "image_batch.shape"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TensorShape([32, 160, 160, 3])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xwdA2iM9GINP"
      },
      "source": [
        "# Loading the MobileNet Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kz2gjU_KbGnr",
        "outputId": "22d5e2f6-e57a-4775-cfb0-007551c85ef8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "IMG_SHAPE=(IMG_SIZE,IMG_SIZE,3)\n",
        "\n",
        "base_model=tf.keras.applications.MobileNet(input_shape=IMG_SHAPE,include_top=False,weights='imagenet')\n",
        "feature_batch=base_model(image_batch)\n",
        "print(feature_batch.shape)"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet/mobilenet_1_0_160_tf_no_top.h5\n",
            "17227776/17225924 [==============================] - 0s 0us/step\n",
            "(32, 5, 5, 1024)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nt4ossnLGPiG"
      },
      "source": [
        "base_model.trainable=False"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P8uGCdFZb0S6",
        "outputId": "c21122b6-6263-4e3b-8e31-4dd85f644dcf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "global_average_layer=tf.keras.layers.GlobalAveragePooling2D()\n",
        "feature_batch_average=global_average_layer(feature_batch)\n",
        "print(feature_batch_average.shape)"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(32, 1024)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LlFxgPtocZ7S",
        "outputId": "083ccad5-0f1d-4305-dab7-e90f4894531d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "prediction_layer = keras.layers.Dense(1)\n",
        "prediction_batch=prediction_layer(feature_batch_average)\n",
        "print(prediction_batch.shape)"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(32, 1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NFcFtoEacqKP"
      },
      "source": [
        "model=keras.Sequential([\n",
        "                        base_model,\n",
        "                        global_average_layer,\n",
        "                        prediction_layer\n",
        "])"
      ],
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pdEDO6Hqc8Sd"
      },
      "source": [
        "base_learning_rate=0.0001\n",
        "model.compile(\n",
        "    optimizer=keras.optimizers.RMSprop(lr=base_learning_rate),\n",
        "    loss=keras.losses.BinaryCrossentropy(from_logits=True),\n",
        "    metrics='accuracy'\n",
        ")"
      ],
      "execution_count": 49,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NJjNzXBzdYi2",
        "outputId": "0a6f81e4-eedb-4f50-8415-120349739a37",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        }
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_2\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "mobilenet_1.00_160 (Function (None, 5, 5, 1024)        3228864   \n",
            "_________________________________________________________________\n",
            "global_average_pooling2d_2 ( (None, 1024)              0         \n",
            "_________________________________________________________________\n",
            "dense_2 (Dense)              (None, 1)                 1025      \n",
            "=================================================================\n",
            "Total params: 3,229,889\n",
            "Trainable params: 1,025\n",
            "Non-trainable params: 3,228,864\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ebYVFlTfGUPi"
      },
      "source": [
        "## Initial Shallow Training"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QQX3DIJKekof"
      },
      "source": [
        "checkpoint_filepath='weights.{epoch:02d}-{val_loss:.2f}.hdf5'\n",
        "model_checkpoint_callback = tf.keras.callbacks.ModelCheckpoint(\n",
        "    filepath=checkpoint_filepath,\n",
        "    save_weights_only=True,\n",
        "    monitor='val_acc',\n",
        "    mode='max',\n",
        "    save_best_only=True)"
      ],
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jvTLtqnSdauo",
        "outputId": "eccc085d-07a7-4f28-e90b-3b74ab0c7d59",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 697
        }
      },
      "source": [
        "initial_epochs=10\n",
        "history = model.fit(\n",
        "    train_batches,\n",
        "    epochs=initial_epochs,\n",
        "    validation_data=validation_batches,\n",
        "    callbacks=[model_checkpoint_callback]\n",
        ")"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/10\n",
            "     26/Unknown - 1s 26ms/step - loss: 0.6176 - accuracy: 0.6375WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r26/26 [==============================] - 2s 69ms/step - loss: 0.6176 - accuracy: 0.6375 - val_loss: 0.5601 - val_accuracy: 0.7451\n",
            "Epoch 2/10\n",
            "25/26 [===========================>..] - ETA: 0s - loss: 0.4531 - accuracy: 0.7812WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r26/26 [==============================] - 1s 49ms/step - loss: 0.4554 - accuracy: 0.7810 - val_loss: 0.4191 - val_accuracy: 0.8137\n",
            "Epoch 3/10\n",
            "25/26 [===========================>..] - ETA: 0s - loss: 0.3495 - accuracy: 0.8662WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r26/26 [==============================] - 1s 48ms/step - loss: 0.3454 - accuracy: 0.8674 - val_loss: 0.3224 - val_accuracy: 0.9118\n",
            "Epoch 4/10\n",
            "25/26 [===========================>..] - ETA: 0s - loss: 0.2635 - accuracy: 0.9225WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r26/26 [==============================] - 1s 49ms/step - loss: 0.2632 - accuracy: 0.9221 - val_loss: 0.2479 - val_accuracy: 0.9412\n",
            "Epoch 5/10\n",
            "25/26 [===========================>..] - ETA: 0s - loss: 0.2002 - accuracy: 0.9488WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r26/26 [==============================] - 1s 46ms/step - loss: 0.2005 - accuracy: 0.9489 - val_loss: 0.1933 - val_accuracy: 0.9608\n",
            "Epoch 6/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.1535 - accuracy: 0.9708WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r26/26 [==============================] - 1s 49ms/step - loss: 0.1535 - accuracy: 0.9708 - val_loss: 0.1491 - val_accuracy: 0.9804\n",
            "Epoch 7/10\n",
            "24/26 [==========================>...] - ETA: 0s - loss: 0.1201 - accuracy: 0.9857WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r26/26 [==============================] - 1s 49ms/step - loss: 0.1191 - accuracy: 0.9866 - val_loss: 0.1193 - val_accuracy: 0.9902\n",
            "Epoch 8/10\n",
            "25/26 [===========================>..] - ETA: 0s - loss: 0.0939 - accuracy: 0.9912WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r26/26 [==============================] - 1s 49ms/step - loss: 0.0931 - accuracy: 0.9915 - val_loss: 0.0970 - val_accuracy: 0.9902\n",
            "Epoch 9/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.0730 - accuracy: 0.9927WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r26/26 [==============================] - 1s 50ms/step - loss: 0.0730 - accuracy: 0.9927 - val_loss: 0.0780 - val_accuracy: 0.9902\n",
            "Epoch 10/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.0581 - accuracy: 0.9927WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r26/26 [==============================] - 1s 49ms/step - loss: 0.0581 - accuracy: 0.9927 - val_loss: 0.0620 - val_accuracy: 1.0000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TK2s9ZBNdn-D",
        "outputId": "64498b7b-c9da-4725-c22e-000d4c3e35e1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "model.evaluate(test_batches)"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4/4 [==============================] - 0s 109ms/step - loss: 0.0721 - accuracy: 0.9903\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.07213521003723145, 0.9902912378311157]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m5jUvJEPcNqa",
        "outputId": "13b01cb7-939f-4f96-ff95-10e29f8bf332",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        }
      },
      "source": [
        "#Evaluate the Model\n",
        "plt.plot(history.history['accuracy'], label='accuracy')\n",
        "plt.plot(history.history['val_accuracy'], label = 'val_accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.ylim([0.5, 1])\n",
        "plt.legend(loc='lower right')\n",
        "test_loss, test_acc = model.evaluate(validation_batches, verbose=2)\n",
        "print('\\nTest accuracy:', test_acc)"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4/4 - 0s - loss: 0.0620 - accuracy: 1.0000\n",
            "\n",
            "Test accuracy: 1.0\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GpnP2KrPo_l2"
      },
      "source": [
        "# Fine Tuning"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lgC9BDQdpBZY",
        "outputId": "d17c898c-7da0-4695-9432-5b2d8a2aa8de",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "base_model.trainable=True\n",
        "\n",
        "print('Number of layers in the base model: ',len(base_model.layers))\n",
        "\n",
        "finetune_at=155"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Number of layers in the base model:  87\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VGfQ8ps5p3wi"
      },
      "source": [
        "for layer in base_model.layers[:finetune_at]:\n",
        "    layer.trainable=False"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LWgnA2iNtuHV"
      },
      "source": [
        "model.compile(loss=keras.losses.BinaryCrossentropy(from_logits=True),\n",
        "              optimizer=keras.optimizers.RMSprop(lr=base_learning_rate/10),\n",
        "              metrics=['accuracy']\n",
        "              )"
      ],
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tYgwowpKuGPZ",
        "outputId": "e6daf958-d270-4501-f47d-da36b04ee028",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        }
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_1\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "mobilenet_1.00_160 (Function (None, 5, 5, 1024)        3228864   \n",
            "_________________________________________________________________\n",
            "global_average_pooling2d_1 ( (None, 1024)              0         \n",
            "_________________________________________________________________\n",
            "dense_1 (Dense)              (None, 1)                 1025      \n",
            "=================================================================\n",
            "Total params: 3,229,889\n",
            "Trainable params: 1,025\n",
            "Non-trainable params: 3,228,864\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tOAYxHcVuIUQ",
        "outputId": "edaaf4ca-897c-4101-8d6a-48c3e2edbbe3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        }
      },
      "source": [
        "fine_tuning_epochs=10\n",
        "total_epochs=initial_epochs+fine_tuning_epochs\n",
        "\n",
        "history_fine=model.fit(\n",
        "train_batches,\n",
        "epochs=total_epochs,\n",
        "initial_epoch=history.epoch[-1],\n",
        "validation_data=validation_batches\n",
        ")"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 10/20\n",
            "26/26 [==============================] - 2s 69ms/step - loss: 0.0505 - accuracy: 0.9927 - val_loss: 0.0604 - val_accuracy: 1.0000\n",
            "Epoch 11/20\n",
            "26/26 [==============================] - 1s 50ms/step - loss: 0.0492 - accuracy: 0.9927 - val_loss: 0.0593 - val_accuracy: 1.0000\n",
            "Epoch 12/20\n",
            "26/26 [==============================] - 1s 49ms/step - loss: 0.0480 - accuracy: 0.9927 - val_loss: 0.0582 - val_accuracy: 1.0000\n",
            "Epoch 13/20\n",
            "26/26 [==============================] - 1s 49ms/step - loss: 0.0469 - accuracy: 0.9927 - val_loss: 0.0571 - val_accuracy: 1.0000\n",
            "Epoch 14/20\n",
            "26/26 [==============================] - 1s 50ms/step - loss: 0.0458 - accuracy: 0.9927 - val_loss: 0.0562 - val_accuracy: 1.0000\n",
            "Epoch 15/20\n",
            "26/26 [==============================] - 1s 50ms/step - loss: 0.0449 - accuracy: 0.9927 - val_loss: 0.0552 - val_accuracy: 1.0000\n",
            "Epoch 16/20\n",
            "26/26 [==============================] - 1s 51ms/step - loss: 0.0438 - accuracy: 0.9927 - val_loss: 0.0541 - val_accuracy: 1.0000\n",
            "Epoch 17/20\n",
            "26/26 [==============================] - 1s 49ms/step - loss: 0.0428 - accuracy: 0.9939 - val_loss: 0.0530 - val_accuracy: 1.0000\n",
            "Epoch 18/20\n",
            "26/26 [==============================] - 1s 50ms/step - loss: 0.0419 - accuracy: 0.9939 - val_loss: 0.0521 - val_accuracy: 1.0000\n",
            "Epoch 19/20\n",
            "26/26 [==============================] - 1s 49ms/step - loss: 0.0410 - accuracy: 0.9939 - val_loss: 0.0512 - val_accuracy: 1.0000\n",
            "Epoch 20/20\n",
            "26/26 [==============================] - 1s 50ms/step - loss: 0.0400 - accuracy: 0.9939 - val_loss: 0.0501 - val_accuracy: 1.0000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mWhNwAPxvctH",
        "outputId": "764cca54-6ae0-460b-ed08-d61b91fcf01e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "model.evaluate(test_batches)"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4/4 [==============================] - 0s 86ms/step - loss: 0.0600 - accuracy: 0.9903\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.059966426342725754, 0.9902912378311157]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Otsr3RCr300K",
        "outputId": "e4805d07-7f69-45c8-e9a0-f5f373093f8b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        }
      },
      "source": [
        "#Evaluate the Model\n",
        "plt.plot(history_fine.history['accuracy'], label='accuracy')\n",
        "plt.plot(history_fine.history['val_accuracy'], label = 'val_accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.ylim([0.5, 1.2])\n",
        "plt.legend(loc='lower right')\n",
        "test_loss, test_acc = model.evaluate(validation_batches, verbose=2)\n",
        "print('\\n Fine Tuned Test accuracy:', test_acc)"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4/4 - 0s - loss: 0.0501 - accuracy: 1.0000\n",
            "\n",
            " Fine Tuned Test accuracy: 1.0\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-6jkELMQFmgx"
      },
      "source": [
        ""
      ],
      "execution_count": 45,
      "outputs": []
    }
  ]
}