A2_Q3_InceptionResNetV2_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-InceptionResNetV2-TransferLearning/A2_Q3_InceptionResNetV2_TransferLearning.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
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      },
      "source": [
        "# Imports"
      ]
    },
    {
      "cell_type": "code",
      "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": 4,
      "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": 5,
      "outputs": [
        {
          "output_type": "stream",
          "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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          "metadata": {
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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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          "name": "stdout"
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          "output_type": "stream",
          "text": [
            "\rShuffling and writing examples to /root/tensorflow_datasets/horses_or_humans/3.0.0.incompleteW6K55Q/horses_or_humans-train.tfrecord\n"
          ],
          "name": "stdout"
        },
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          "text": [
            "\r"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
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        {
          "output_type": "stream",
          "text": [
            "\rShuffling and writing examples to /root/tensorflow_datasets/horses_or_humans/3.0.0.incompleteW6K55Q/horses_or_humans-test.tfrecord\n"
          ],
          "name": "stdout"
        },
        {
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          "output_type": "stream",
          "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"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1kMwlxpKKTiO",
        "outputId": "ac3e7bce-8bea-48f3-e9de-2e93e2585b94",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "print(raw_data,raw_validation,raw_test)"
      ],
      "execution_count": 6,
      "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": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B28kxnT-MCra",
        "outputId": "b6874ef7-1077-4fc1-c5c8-a685c0df29cd",
        "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": 8,
      "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": 9,
      "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": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RXLYQi3FiYO4",
        "outputId": "512e1fda-bf7f-4904-e5ef-69a610fb9974",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "validation,test"
      ],
      "execution_count": 11,
      "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": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9UJOhqNKGDte"
      },
      "source": [
        "# Batching the Data\""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Dzd-zNQGZMij",
        "outputId": "acdd57fa-66d2-447f-a0bd-6555b0f2cdb3",
        "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": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TensorShape([32, 160, 160, 3])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xwdA2iM9GINP"
      },
      "source": [
        "# Loading the MobileNet Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kz2gjU_KbGnr",
        "outputId": "c7272785-7f65-4c8b-aa54-0260e076e43e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "IMG_SHAPE=(IMG_SIZE,IMG_SIZE,3)\n",
        "\n",
        "base_model=tf.keras.applications.InceptionResNetV2(input_shape=IMG_SHAPE,include_top=False,weights='imagenet')\n",
        "feature_batch=base_model(image_batch)\n",
        "print(feature_batch.shape)"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/inception_resnet_v2/inception_resnet_v2_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
            "219062272/219055592 [==============================] - 2s 0us/step\n",
            "(32, 3, 3, 1536)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nt4ossnLGPiG"
      },
      "source": [
        "base_model.trainable=False"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P8uGCdFZb0S6",
        "outputId": "3241f9ba-eaeb-45da-8434-ffd5ed9bbae0",
        "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": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(32, 1536)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LlFxgPtocZ7S",
        "outputId": "019f5353-598f-4bd7-8282-bba8083098b3",
        "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": 16,
      "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": 17,
      "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": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NJjNzXBzdYi2",
        "outputId": "3ec71804-c7e9-4467-e667-618d7b9edd50",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        }
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "inception_resnet_v2 (Functio (None, 3, 3, 1536)        54336736  \n",
            "_________________________________________________________________\n",
            "global_average_pooling2d (Gl (None, 1536)              0         \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 1)                 1537      \n",
            "=================================================================\n",
            "Total params: 54,338,273\n",
            "Trainable params: 1,537\n",
            "Non-trainable params: 54,336,736\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": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jvTLtqnSdauo",
        "outputId": "1077405c-7de9-4240-aeab-e6f9ffcb547f",
        "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": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/10\n",
            "     26/Unknown - 2s 93ms/step - loss: 0.5350 - accuracy: 0.7092WARNING: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 [==============================] - 6s 228ms/step - loss: 0.5350 - accuracy: 0.7092 - val_loss: 0.2794 - val_accuracy: 0.8627\n",
            "Epoch 2/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.2624 - accuracy: 0.8954WARNING: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 [==============================] - 3s 106ms/step - loss: 0.2624 - accuracy: 0.8954 - val_loss: 0.1522 - val_accuracy: 0.9804\n",
            "Epoch 3/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.1476 - accuracy: 0.9611WARNING: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 [==============================] - 3s 107ms/step - loss: 0.1476 - accuracy: 0.9611 - val_loss: 0.0892 - val_accuracy: 0.9902\n",
            "Epoch 4/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.0851 - accuracy: 0.9866WARNING: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 [==============================] - 3s 105ms/step - loss: 0.0851 - accuracy: 0.9866 - val_loss: 0.0547 - val_accuracy: 1.0000\n",
            "Epoch 5/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.0522 - 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 [==============================] - 3s 105ms/step - loss: 0.0522 - accuracy: 0.9927 - val_loss: 0.0382 - val_accuracy: 1.0000\n",
            "Epoch 6/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.0335 - accuracy: 0.9951WARNING: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 [==============================] - 3s 106ms/step - loss: 0.0335 - accuracy: 0.9951 - val_loss: 0.0280 - val_accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.0239 - accuracy: 0.9951WARNING: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 [==============================] - 3s 107ms/step - loss: 0.0239 - accuracy: 0.9951 - val_loss: 0.0220 - val_accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.0181 - accuracy: 0.9988WARNING: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 [==============================] - 3s 107ms/step - loss: 0.0181 - accuracy: 0.9988 - val_loss: 0.0190 - val_accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.0146 - accuracy: 0.9976WARNING: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 [==============================] - 3s 106ms/step - loss: 0.0146 - accuracy: 0.9976 - val_loss: 0.0168 - val_accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "26/26 [==============================] - ETA: 0s - loss: 0.0120 - accuracy: 0.9988WARNING: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 [==============================] - 3s 108ms/step - loss: 0.0120 - accuracy: 0.9988 - val_loss: 0.0145 - val_accuracy: 1.0000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TK2s9ZBNdn-D",
        "outputId": "60cc1d16-da88-4fe2-f3a1-5c16afd77cfe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "model.evaluate(test_batches)"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4/4 [==============================] - 1s 156ms/step - loss: 0.0061 - accuracy: 1.0000\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.006095695775002241, 1.0]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m5jUvJEPcNqa",
        "outputId": "d0227f8f-2895-457d-a177-c72fa45b7441",
        "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": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4/4 - 0s - loss: 0.0145 - 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": "6e1cffe0-e846-4765-ea78-ebcc7648687d",
        "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": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Number of layers in the base model:  780\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VGfQ8ps5p3wi"
      },
      "source": [
        "for layer in base_model.layers[:finetune_at]:\n",
        "    layer.trainable=False"
      ],
      "execution_count": 25,
      "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": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tYgwowpKuGPZ",
        "outputId": "aaa9a41c-548e-43c5-81c9-7a64c95dd78d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        }
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "inception_resnet_v2 (Functio (None, 3, 3, 1536)        54336736  \n",
            "_________________________________________________________________\n",
            "global_average_pooling2d (Gl (None, 1536)              0         \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 1)                 1537      \n",
            "=================================================================\n",
            "Total params: 54,338,273\n",
            "Trainable params: 53,202,513\n",
            "Non-trainable params: 1,135,760\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tOAYxHcVuIUQ",
        "outputId": "c96e7c40-4924-497d-d045-ac499e7f181b",
        "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": 28,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 10/20\n",
            "26/26 [==============================] - 10s 373ms/step - loss: 0.3802 - accuracy: 0.8102 - val_loss: 0.0059 - val_accuracy: 1.0000\n",
            "Epoch 11/20\n",
            "26/26 [==============================] - 7s 257ms/step - loss: 0.1720 - accuracy: 0.9745 - val_loss: 0.0052 - val_accuracy: 1.0000\n",
            "Epoch 12/20\n",
            "26/26 [==============================] - 7s 259ms/step - loss: 0.0811 - accuracy: 0.9915 - val_loss: 0.0038 - val_accuracy: 1.0000\n",
            "Epoch 13/20\n",
            "26/26 [==============================] - 7s 260ms/step - loss: 0.0311 - accuracy: 1.0000 - val_loss: 0.0013 - val_accuracy: 1.0000\n",
            "Epoch 14/20\n",
            "26/26 [==============================] - 7s 265ms/step - loss: 0.0172 - accuracy: 1.0000 - val_loss: 0.0013 - val_accuracy: 1.0000\n",
            "Epoch 15/20\n",
            "26/26 [==============================] - 7s 265ms/step - loss: 0.0088 - accuracy: 1.0000 - val_loss: 0.0017 - val_accuracy: 1.0000\n",
            "Epoch 16/20\n",
            "26/26 [==============================] - 7s 267ms/step - loss: 0.0049 - accuracy: 0.9988 - val_loss: 0.0010 - val_accuracy: 1.0000\n",
            "Epoch 17/20\n",
            "26/26 [==============================] - 7s 266ms/step - loss: 0.0060 - accuracy: 0.9988 - val_loss: 8.2668e-04 - val_accuracy: 1.0000\n",
            "Epoch 18/20\n",
            "26/26 [==============================] - 7s 264ms/step - loss: 0.0013 - accuracy: 1.0000 - val_loss: 5.7127e-04 - val_accuracy: 1.0000\n",
            "Epoch 19/20\n",
            "26/26 [==============================] - 7s 262ms/step - loss: 6.5826e-04 - accuracy: 1.0000 - val_loss: 3.0957e-04 - val_accuracy: 1.0000\n",
            "Epoch 20/20\n",
            "26/26 [==============================] - 7s 263ms/step - loss: 0.0021 - accuracy: 1.0000 - val_loss: 2.7147e-04 - val_accuracy: 1.0000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mWhNwAPxvctH",
        "outputId": "e361cdec-52dc-42f4-8032-4353252c80ec",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "model.evaluate(test_batches)"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4/4 [==============================] - 0s 80ms/step - loss: 0.0038 - accuracy: 1.0000\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.0037963141221553087, 1.0]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Otsr3RCr300K",
        "outputId": "f00b61e9-9bf5-4e19-d31b-d4ae7701d95e",
        "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": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4/4 - 0s - loss: 2.7147e-04 - 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": 30,
      "outputs": []
    }
  ]
}