{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Problem Statement\nIn this problem, you'll train a CNN model to classify whether images contain either a dog or a cat.  This is easy for humans, dogs, and cats. Your computer will find it a bit more difficult. <br>\nThe Dogs vs. Cats dataset is a standard computer vision dataset that involves classifying photos as either containing a dog or cat. <br>\n<br>\nIn this notebook, you will discover how to develop a convolutional neural network to classify photos of dogs and cats.\n* How to load and prepare photos of dogs and cats for modeling.\n* How to develop a convolutional neural network for photo classification from scratch and improve model performance.\n* How to develop a model for photo classification using transfer 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"}}},{"cell_type":"markdown","source":"# Importing Libraries","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport tensorflow as tf\nfrom tensorflow import keras\nimport os\n\nimport matplotlib.pyplot as plt\nimport matplotlib.image as img\nimport seaborn as sns\n\n'''setting seed'''\nseed = 0\nnp.random.seed(seed)\ntf.random.set_seed(3)","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-09-15T02:48:01.355296Z","iopub.execute_input":"2022-09-15T02:48:01.355961Z","iopub.status.idle":"2022-09-15T02:48:06.518763Z","shell.execute_reply.started":"2022-09-15T02:48:01.355928Z","shell.execute_reply":"2022-09-15T02:48:06.517790Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Load and Extract data","metadata":{}},{"cell_type":"code","source":"import zipfile\n\nzip_files = ['test1', 'train']\n\nfor zip_file in zip_files:\n    with zipfile.ZipFile(\"../input/dogs-vs-cats/{}.zip\".format(zip_file),\"r\") as z:\n        z.extractall(\".\")\n        print(\"{} unzipped\".format(zip_file))","metadata":{"execution":{"iopub.status.busy":"2022-09-15T02:48:06.520670Z","iopub.execute_input":"2022-09-15T02:48:06.521282Z","iopub.status.idle":"2022-09-15T02:48:23.512074Z","shell.execute_reply.started":"2022-09-15T02:48:06.521247Z","shell.execute_reply":"2022-09-15T02:48:23.511078Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"TRAIN_DIR_PATH = './train'\nfile_names = os.listdir(TRAIN_DIR_PATH)\nprint('There are {} number of images in directory.'.format(len(file_names)))","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:25:03.291677Z","iopub.execute_input":"2022-09-15T07:25:03.292280Z","iopub.status.idle":"2022-09-15T07:25:03.314327Z","shell.execute_reply.started":"2022-09-15T07:25:03.292246Z","shell.execute_reply":"2022-09-15T07:25:03.313440Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def to_dataframe(file_names):\n    files, labels = list(), list()\n    for file in file_names:\n        files.append(file)\n        labels.append(file[:3])\n    df = pd.DataFrame({'filename':files, 'label':labels})\n    return df\n\ndf = to_dataframe(file_names)","metadata":{"execution":{"iopub.status.busy":"2022-09-15T02:48:23.535498Z","iopub.execute_input":"2022-09-15T02:48:23.535930Z","iopub.status.idle":"2022-09-15T02:48:23.553836Z","shell.execute_reply.started":"2022-09-15T02:48:23.535887Z","shell.execute_reply":"2022-09-15T02:48:23.552730Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df.head()","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:25:07.500215Z","iopub.execute_input":"2022-09-15T07:25:07.500601Z","iopub.status.idle":"2022-09-15T07:25:07.511601Z","shell.execute_reply.started":"2022-09-15T07:25:07.500571Z","shell.execute_reply":"2022-09-15T07:25:07.510462Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Analyze data","metadata":{}},{"cell_type":"code","source":"print('data set label distribution:\\n',df['label'].value_counts())\n\nplt.figure(figsize=(7,7))\nsns.countplot(x = df['label'])\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:25:12.030729Z","iopub.execute_input":"2022-09-15T07:25:12.031160Z","iopub.status.idle":"2022-09-15T07:25:12.274958Z","shell.execute_reply.started":"2022-09-15T07:25:12.031126Z","shell.execute_reply":"2022-09-15T07:25:12.274094Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cat = [file for file in file_names if file[:3]=='cat']\ndog = [file for file in file_names if file[:3]=='dog']","metadata":{"execution":{"iopub.status.busy":"2022-09-15T02:48:23.798993Z","iopub.execute_input":"2022-09-15T02:48:23.799587Z","iopub.status.idle":"2022-09-15T02:48:23.811622Z","shell.execute_reply.started":"2022-09-15T02:48:23.799550Z","shell.execute_reply":"2022-09-15T02:48:23.810594Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(15,7))\nfor i, c in enumerate(np.random.randint(0,len(cat),5), start=1):\n    im = img.imread('./train/'+cat[c])\n    plt.subplot(2,5,i)\n    plt.imshow(im)\n    \nfor i, c in enumerate(np.random.randint(0,len(dog),5), start=6):\n    im = img.imread('./train/'+dog[c])\n    plt.subplot(2,5,i)\n    plt.imshow(im)","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:25:16.556314Z","iopub.execute_input":"2022-09-15T07:25:16.557330Z","iopub.status.idle":"2022-09-15T07:25:17.748165Z","shell.execute_reply.started":"2022-09-15T07:25:16.557286Z","shell.execute_reply":"2022-09-15T07:25:17.747068Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Looking at a few random photos in the directory, you can see that the photos are color and have different shapes and sizes.","metadata":{}},{"cell_type":"markdown","source":"# Split data","metadata":{}},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\ntrain_set, valid_set = train_test_split(df, test_size=0.2,random_state=seed)","metadata":{"execution":{"iopub.status.busy":"2022-09-15T02:48:25.304167Z","iopub.execute_input":"2022-09-15T02:48:25.304636Z","iopub.status.idle":"2022-09-15T02:48:25.450360Z","shell.execute_reply.started":"2022-09-15T02:48:25.304591Z","shell.execute_reply":"2022-09-15T02:48:25.449462Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_set.shape, valid_set.shape","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:25:24.517494Z","iopub.execute_input":"2022-09-15T07:25:24.518087Z","iopub.status.idle":"2022-09-15T07:25:24.526237Z","shell.execute_reply.started":"2022-09-15T07:25:24.518039Z","shell.execute_reply":"2022-09-15T07:25:24.525064Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print('train set distribution:\\n',train_set['label'].value_counts())\nprint('\\nvalid set distribution:\\n',valid_set['label'].value_counts())\nprint()\n\nplt.figure(figsize=(10,5))\nplt.subplot(1,3,1)\nsns.countplot(x=train_set['label'], order=['dog','cat'])\nplt.title('Train set label distribution')\n\nplt.subplot(1,3,3)\nsns.countplot(x=valid_set['label'], order=['dog','cat'])\nplt.title('valid set label distribution')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:25:28.021691Z","iopub.execute_input":"2022-09-15T07:25:28.022059Z","iopub.status.idle":"2022-09-15T07:25:28.280299Z","shell.execute_reply.started":"2022-09-15T07:25:28.022029Z","shell.execute_reply":"2022-09-15T07:25:28.279329Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Image data Generator and Data Augmentation","metadata":{}},{"cell_type":"code","source":"from tensorflow.keras.preprocessing.image import ImageDataGenerator\n\nWIDTH, HEIGHT = 150, 150\nbatch_size = 32","metadata":{"execution":{"iopub.status.busy":"2022-09-15T02:48:25.813622Z","iopub.execute_input":"2022-09-15T02:48:25.814186Z","iopub.status.idle":"2022-09-15T02:48:26.822960Z","shell.execute_reply.started":"2022-09-15T02:48:25.814153Z","shell.execute_reply":"2022-09-15T02:48:26.821977Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_datagenerator = ImageDataGenerator(rotation_range=15, \n                                  rescale=1./255, \n                                  shear_range=0.1,\n                                  zoom_range=0.2,\n                                  horizontal_flip=True,\n                                  width_shift_range=0.1,\n                                  height_shift_range=0.1)\n\ntraining_data = train_datagenerator.flow_from_dataframe(dataframe=train_set, \n                                                        directory='./train',\n                                                       x_col='filename',\n                                                       y_col='label',\n                                                       target_size=(WIDTH, HEIGHT),\n                                                       class_mode='categorical',\n                                                       batch_size=batch_size)","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:25:32.716709Z","iopub.execute_input":"2022-09-15T07:25:32.717844Z","iopub.status.idle":"2022-09-15T07:25:32.925885Z","shell.execute_reply.started":"2022-09-15T07:25:32.717786Z","shell.execute_reply":"2022-09-15T07:25:32.924865Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"valid_datagenerator = ImageDataGenerator(rescale=1./255)\nvalidation_data = valid_datagenerator.flow_from_dataframe(dataframe=valid_set,\n                                                         directory='./train',\n                                                         x_col='filename',\n                                                         y_col='label',\n                                                         target_size=(WIDTH,HEIGHT),\n                                                         class_mode='categorical',\n                                                         batch_size=batch_size)","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:25:33.502576Z","iopub.execute_input":"2022-09-15T07:25:33.503035Z","iopub.status.idle":"2022-09-15T07:25:33.579326Z","shell.execute_reply.started":"2022-09-15T07:25:33.502996Z","shell.execute_reply":"2022-09-15T07:25:33.578403Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Making CNN Model","metadata":{}},{"cell_type":"code","source":"from tensorflow.keras.layers import *\nfrom functools import partial\n\nDefaultConv2D = partial(keras.layers.Conv2D, kernel_size=3, activation='relu', padding=\"SAME\")\n\nmodel = keras.models.Sequential()\n\nmodel.add(DefaultConv2D(filters=32, kernel_size=5, input_shape=(WIDTH, HEIGHT, 3)))\nmodel.add(MaxPooling2D(pool_size=2))\n\nmodel.add(DefaultConv2D(filters=64))\nmodel.add(DefaultConv2D(filters=64))\nmodel.add(MaxPooling2D(pool_size=2))\n\nmodel.add(DefaultConv2D(filters=128))\nmodel.add(DefaultConv2D(filters=128))\nmodel.add(MaxPooling2D(pool_size=2))\n\nmodel.add(Flatten())\nmodel.add(Dense(64, activation='relu'))\nmodel.add(Dropout(0.2))\n\nmodel.add(Dense(32, activation='relu'))\nmodel.add(Dropout(0.2))\n\nmodel.add(Dense(2, activation='softmax'))","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2022-09-15T07:25:38.612356Z","iopub.execute_input":"2022-09-15T07:25:38.613070Z","iopub.status.idle":"2022-09-15T07:25:38.700439Z","shell.execute_reply.started":"2022-09-15T07:25:38.613037Z","shell.execute_reply":"2022-09-15T07:25:38.699511Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.summary()","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:25:41.506539Z","iopub.execute_input":"2022-09-15T07:25:41.507170Z","iopub.status.idle":"2022-09-15T07:25:41.513851Z","shell.execute_reply.started":"2022-09-15T07:25:41.507133Z","shell.execute_reply":"2022-09-15T07:25:41.512747Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Callbacks","metadata":{}},{"cell_type":"code","source":"from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau\n\nearlystop_cb = EarlyStopping(patience=10, restore_best_weights=True)\nreduce_lr_cb = ReduceLROnPlateau(factor=0.5, patience=5, monitor='val_loss', min_lr=0.00001)\ncheckpoint_cb = ModelCheckpoint('model.h5', save_best_only=True)\n\ncallbacks = [earlystop_cb, reduce_lr_cb, checkpoint_cb]","metadata":{"execution":{"iopub.status.busy":"2022-09-15T02:48:30.641552Z","iopub.execute_input":"2022-09-15T02:48:30.642216Z","iopub.status.idle":"2022-09-15T02:48:30.651969Z","shell.execute_reply.started":"2022-09-15T02:48:30.642182Z","shell.execute_reply":"2022-09-15T02:48:30.651082Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Train the Model","metadata":{}},{"cell_type":"code","source":"opt = keras.optimizers.SGD(learning_rate=0.01, momentum=0.9)\nmodel.compile(loss=\"categorical_crossentropy\", optimizer=opt, metrics=['accuracy'])","metadata":{"execution":{"iopub.status.busy":"2022-09-15T02:48:30.653059Z","iopub.execute_input":"2022-09-15T02:48:30.653306Z","iopub.status.idle":"2022-09-15T02:48:30.865991Z","shell.execute_reply.started":"2022-09-15T02:48:30.653283Z","shell.execute_reply":"2022-09-15T02:48:30.865040Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"history = model.fit(training_data,\n                   epochs=50,\n                   validation_data=validation_data,\n                   validation_steps=valid_set.shape[0]//batch_size,\n                   steps_per_epoch=train_set.shape[0]//batch_size, \n                   callbacks=callbacks)","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2022-09-15T02:48:30.867760Z","iopub.execute_input":"2022-09-15T02:48:30.868128Z","iopub.status.idle":"2022-09-15T05:06:10.847930Z","shell.execute_reply.started":"2022-09-15T02:48:30.868093Z","shell.execute_reply":"2022-09-15T05:06:10.846920Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"acc = history.history['accuracy']\nval_acc = history.history['val_accuracy']\nloss = history.history['loss']\nval_loss = history.history['val_loss']\n\nepochs = range(len(acc))\n\nplt.figure(figsize=(15,5))\nplt.subplot(1,2,1)\nplt.plot(epochs, acc, 'bo', label='Training accuracy')\nplt.plot(epochs, val_acc, 'b', label='Validation accuracy')\nplt.title('Training and validation accuracy')\nplt.legend()\n\n\nplt.subplot(1,2,2)\nplt.plot(epochs, loss, 'go', label='Training Loss')\nplt.plot(epochs, val_loss, 'g', label='Validation Loss')\nplt.title('Training and validation loss')\nplt.legend()\n\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-09-15T07:00:28.313077Z","iopub.execute_input":"2022-09-15T07:00:28.313465Z","iopub.status.idle":"2022-09-15T07:00:28.653315Z","shell.execute_reply.started":"2022-09-15T07:00:28.313422Z","shell.execute_reply":"2022-09-15T07:00:28.652374Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![image.png](attachment:65c589d8-a104-4e76-b44d-c0d6e013cf93.png)","metadata":{},"attachments":{"65c589d8-a104-4e76-b44d-c0d6e013cf93.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"# Evaluate Model","metadata":{}},{"cell_type":"code","source":"model1 = keras.models.load_model('model.h5')","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:13:02.408985Z","iopub.execute_input":"2022-09-15T07:13:02.409348Z","iopub.status.idle":"2022-09-15T07:13:02.559407Z","shell.execute_reply.started":"2022-09-15T07:13:02.409318Z","shell.execute_reply":"2022-09-15T07:13:02.558447Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_loss, test_acc = model1.evaluate(validation_data, steps=len(validation_data), verbose=1)\nprint('Loss: %.3f' % (test_loss))\nprint('Accuracy: %.3f' % (test_acc * 100.0)) ","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:25:57.827114Z","iopub.execute_input":"2022-09-15T07:25:57.827788Z","iopub.status.idle":"2022-09-15T07:26:11.779172Z","shell.execute_reply.started":"2022-09-15T07:25:57.827753Z","shell.execute_reply":"2022-09-15T07:26:11.778119Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### The VGG Architecture works well on the data\n### So the next we'll going to train VGG16 architecture (transfer learning)","metadata":{}},{"cell_type":"markdown","source":"# Transfer Learning","metadata":{}},{"cell_type":"code","source":"base_model = keras.applications.vgg16.VGG16(weights=\"imagenet\", include_top=False, input_shape=(WIDTH,HEIGHT,3))\nbase_model.trainable = False ## Not trainable weights","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2022-09-15T07:26:11.780763Z","iopub.execute_input":"2022-09-15T07:26:11.781227Z","iopub.status.idle":"2022-09-15T07:26:12.060942Z","shell.execute_reply.started":"2022-09-15T07:26:11.781190Z","shell.execute_reply":"2022-09-15T07:26:12.059905Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"base_model.summary()","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:26:13.962969Z","iopub.execute_input":"2022-09-15T07:26:13.963823Z","iopub.status.idle":"2022-09-15T07:26:13.974825Z","shell.execute_reply.started":"2022-09-15T07:26:13.963778Z","shell.execute_reply":"2022-09-15T07:26:13.973559Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from tensorflow.keras.layers import *\n\nmodel = keras.models.Sequential()\nmodel.add(base_model)\nmodel.add(Flatten())\nmodel.add(Dense(128, activation='relu'))\nmodel.add(Dropout(0.2))\nmodel.add(Dense(2, activation='softmax'))","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:26:19.156441Z","iopub.execute_input":"2022-09-15T07:26:19.156803Z","iopub.status.idle":"2022-09-15T07:26:19.234060Z","shell.execute_reply.started":"2022-09-15T07:26:19.156771Z","shell.execute_reply":"2022-09-15T07:26:19.233133Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"opt = keras.optimizers.SGD(learning_rate=0.01, momentum=0.9)\nmodel.compile(optimizer=opt, loss='categorical_crossentropy', metrics=['accuracy'])","metadata":{"execution":{"iopub.status.busy":"2022-09-15T05:11:16.945627Z","iopub.execute_input":"2022-09-15T05:11:16.946229Z","iopub.status.idle":"2022-09-15T05:11:16.956574Z","shell.execute_reply.started":"2022-09-15T05:11:16.946195Z","shell.execute_reply":"2022-09-15T05:11:16.955566Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"history = model.fit(training_data,\n            epochs=4,\n            validation_data=validation_data,\n            validation_steps=valid_set.shape[0]//batch_size,\n            steps_per_epoch=train_set.shape[0]//batch_size, \n            )","metadata":{"execution":{"iopub.status.busy":"2022-09-15T05:11:20.499646Z","iopub.execute_input":"2022-09-15T05:11:20.500313Z","iopub.status.idle":"2022-09-15T05:22:59.943246Z","shell.execute_reply.started":"2022-09-15T05:11:20.500270Z","shell.execute_reply":"2022-09-15T05:22:59.942220Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.layers[0].trainable=True","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:26:23.741798Z","iopub.execute_input":"2022-09-15T07:26:23.742382Z","iopub.status.idle":"2022-09-15T07:26:23.748002Z","shell.execute_reply.started":"2022-09-15T07:26:23.742338Z","shell.execute_reply":"2022-09-15T07:26:23.746862Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.summary()","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:26:27.561575Z","iopub.execute_input":"2022-09-15T07:26:27.562539Z","iopub.status.idle":"2022-09-15T07:26:27.568509Z","shell.execute_reply.started":"2022-09-15T07:26:27.562502Z","shell.execute_reply":"2022-09-15T07:26:27.567180Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"checkpoint_cb = keras.callbacks.ModelCheckpoint('model1.h5',save_best_only=True)\nearlystop_cb = keras.callbacks.EarlyStopping(patience=5, restore_best_weights=True)\n\nopt = keras.optimizers.SGD(learning_rate=0.001, momentum=0.9)\nmodel.compile(optimizer=opt, loss='categorical_crossentropy', metrics=['accuracy'])\n\nhistory = model.fit(training_data,\n            epochs=20,\n            validation_data=validation_data,\n            validation_steps=valid_set.shape[0]//batch_size,\n            steps_per_epoch=train_set.shape[0]//batch_size, \n            callbacks=[checkpoint_cb, earlystop_cb])","metadata":{"execution":{"iopub.status.busy":"2022-09-15T05:24:44.668176Z","iopub.execute_input":"2022-09-15T05:24:44.668577Z","iopub.status.idle":"2022-09-15T06:12:57.813169Z","shell.execute_reply.started":"2022-09-15T05:24:44.668544Z","shell.execute_reply":"2022-09-15T06:12:57.812171Z"},"_kg_hide-output":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"acc = history.history['accuracy']\nval_acc = history.history['val_accuracy']\nloss = history.history['loss']\nval_loss = history.history['val_loss']\n\nepochs = range(len(acc))\n\nplt.figure(figsize=(15,5))\nplt.subplot(1,2,1)\nplt.plot(epochs, acc, 'bo', label='Training accuracy')\nplt.plot(epochs, val_acc, 'b', label='Validation accuracy')\nplt.title('Training and validation accuracy')\nplt.legend()\n\n\nplt.subplot(1,2,2)\nplt.plot(epochs, loss, 'go', label='Training Loss')\nplt.plot(epochs, val_loss, 'g', label='Validation Loss')\nplt.title('Training and validation loss')\nplt.legend()\n\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-09-15T07:26:35.207757Z","iopub.execute_input":"2022-09-15T07:26:35.208157Z","iopub.status.idle":"2022-09-15T07:26:35.550822Z","shell.execute_reply.started":"2022-09-15T07:26:35.208127Z","shell.execute_reply":"2022-09-15T07:26:35.548612Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model2 = keras.models.load_model('model1.h5')","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:13:57.283274Z","iopub.execute_input":"2022-09-15T07:13:57.284295Z","iopub.status.idle":"2022-09-15T07:13:57.652096Z","shell.execute_reply.started":"2022-09-15T07:13:57.284250Z","shell.execute_reply":"2022-09-15T07:13:57.651068Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_loss, test_acc = model2.evaluate(validation_data, steps=len(validation_data), verbose=1)\nprint('Loss: %.3f' % (test_loss))\nprint('Accuracy: %.3f' % (test_acc * 100.0))","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:26:41.613080Z","iopub.execute_input":"2022-09-15T07:26:41.613459Z","iopub.status.idle":"2022-09-15T07:27:02.224116Z","shell.execute_reply.started":"2022-09-15T07:26:41.613427Z","shell.execute_reply":"2022-09-15T07:27:02.222921Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Nothing better than this....","metadata":{}},{"cell_type":"markdown","source":"# Make Predictions","metadata":{}},{"cell_type":"code","source":"sampleSubmission = pd.read_csv('../input/dogs-vs-cats/sampleSubmission.csv')\ntest_df = sampleSubmission.copy()\ntest_df['id'] = test_df['id'].apply(lambda x : str(x)+'.jpg')","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:14:20.848314Z","iopub.execute_input":"2022-09-15T07:14:20.848959Z","iopub.status.idle":"2022-09-15T07:14:20.865737Z","shell.execute_reply.started":"2022-09-15T07:14:20.848925Z","shell.execute_reply":"2022-09-15T07:14:20.864838Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_gen = ImageDataGenerator(rescale=1./255)\ntest_generator = test_gen.flow_from_dataframe(test_df, \n                                                \"./test1/\", \n                                                x_col='id',\n                                                y_col=None,\n                                                class_mode=None,\n                                                target_size=(WIDTH,HEIGHT),\n                                                batch_size=batch_size,\n                                                shuffle=False)","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:27:02.226413Z","iopub.execute_input":"2022-09-15T07:27:02.226801Z","iopub.status.idle":"2022-09-15T07:27:02.325474Z","shell.execute_reply.started":"2022-09-15T07:27:02.226763Z","shell.execute_reply":"2022-09-15T07:27:02.324476Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"predict = model1.predict(test_generator, steps=np.ceil(test_df.shape[0]/batch_size))","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:14:33.339778Z","iopub.execute_input":"2022-09-15T07:14:33.340873Z","iopub.status.idle":"2022-09-15T07:15:06.918219Z","shell.execute_reply.started":"2022-09-15T07:14:33.340822Z","shell.execute_reply":"2022-09-15T07:15:06.917238Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sampleSubmission['label'] = np.argmax(predict, axis=-1)\nsampleSubmission.to_csv('submission.csv', index=False)","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:15:09.938172Z","iopub.execute_input":"2022-09-15T07:15:09.938551Z","iopub.status.idle":"2022-09-15T07:15:09.958817Z","shell.execute_reply.started":"2022-09-15T07:15:09.938520Z","shell.execute_reply":"2022-09-15T07:15:09.957865Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df['label'] = sampleSubmission['label'].replace({ 1: 'dog', 0: 'cat' })","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:15:15.138320Z","iopub.execute_input":"2022-09-15T07:15:15.139020Z","iopub.status.idle":"2022-09-15T07:15:15.146465Z","shell.execute_reply.started":"2022-09-15T07:15:15.138985Z","shell.execute_reply":"2022-09-15T07:15:15.145380Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sample_test = test_df.values[np.random.randint(0, len(test_df), 16)]\nsample_test\nplt.figure(figsize=(15, 17))\nfor index, row in enumerate(sample_test):\n    filename = row[0]\n    category = row[1]\n    image = img.imread(\"./test1/\"+filename)\n    plt.subplot(4, 4, index+1)\n    plt.imshow(image)\n    plt.xlabel('Predicted: ' + \"{}\".format(category) )\nplt.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-09-15T07:27:02.326764Z","iopub.execute_input":"2022-09-15T07:27:02.327858Z","iopub.status.idle":"2022-09-15T07:27:04.601210Z","shell.execute_reply.started":"2022-09-15T07:27:02.327812Z","shell.execute_reply":"2022-09-15T07:27:04.599667Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Hurrayyy\n## ALL are correctlty predicted","metadata":{}},{"cell_type":"markdown","source":"## Upvote If you like it !","metadata":{}}]}