{"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":"code","source":"import tensorflow as tf\nfrom tensorflow import keras\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Activation, Dense, Flatten\nfrom tensorflow.keras.optimizers import RMSprop\nfrom tensorflow.keras.layers.experimental.preprocessing import Rescaling\nfrom tensorflow.keras.metrics import categorical_crossentropy\nfrom sklearn.metrics import confusion_matrix\nimport itertools\nimport shutil\nimport glob\nimport random\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport os\nimport zipfile\n\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2021-07-20T11:19:53.051786Z","iopub.execute_input":"2021-07-20T11:19:53.052156Z","iopub.status.idle":"2021-07-20T11:19:58.328924Z","shell.execute_reply.started":"2021-07-20T11:19:53.052121Z","shell.execute_reply":"2021-07-20T11:19:58.328046Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<div class=\"list-group\">\n    \n  <h3 class=\"list-group-item list-group-item-action active\" data-toggle=\"list\"  role=\"tab\" aria-controls=\"home\" style=\"background-color:green; color:white\">STEPS</h3>\n    \n  <a href=\"#super\" style=\"background-color:tan; color:black\"  class=\"list-group-item list-group-item-action\">Extract the Zip File</a>\n    \n  <a href=\"#path\" style=\"background-color:olive; color:black\" class=\"list-group-item list-group-item-action\">Indicate the Path</a>\n    \n  <a href=\"#train\" style=\"background-color:darkcyan; color:black\" class=\"list-group-item list-group-item-action\">Visualize Training Images</a>\n    \n  <a href=\"#MDOEL\" style=\"background-color:skyblue; color:black\" class=\"list-group-item list-group-item-action disabled\">Create Model</a>\n\n <a href=\"#pred\" style=\"background-color:royalblue; color:black\" class=\"list-group-item list-group-item-action disabled\">Predict</a>\n\n <a href=\"#cm\" style=\"background-color:gold; color:black\" class=\"list-group-item list-group-item-action\">Confusion Matrix</a>\n \n  <a href=\"#fine\" style=\"background-color:seagreen; color:black\"  class=\"list-group-item list-group-item-action\">Fine Tune</a>\n\n <a href=\"#after\" style=\"background-color:pink; color:black\" class=\"list-group-item list-group-item-action\">Predict After Tuning</a>\n \n <a href=\"#SON\" style=\"background-color:darkviolet; color:black\" class=\"list-group-item list-group-item-action disabled\">RESULT</a>\n\n </div>\n\n ","metadata":{}},{"cell_type":"markdown","source":"**Unzip file with using the kaggle path.**","metadata":{}},{"cell_type":"markdown","source":"<a id =\"super\"></a> \n<div class=\"alert alert-warning\" role=\"alert\"> <font size=5\n <b>  Extract the Zip File </b> </font>\n</div>\n","metadata":{}},{"cell_type":"code","source":"test1= zipfile.ZipFile('../input/dogs-vs-cats/test1.zip')\ntest1.extractall()","metadata":{"execution":{"iopub.status.busy":"2021-07-20T11:19:58.330348Z","iopub.execute_input":"2021-07-20T11:19:58.330836Z","iopub.status.idle":"2021-07-20T11:20:05.720664Z","shell.execute_reply.started":"2021-07-20T11:19:58.330796Z","shell.execute_reply":"2021-07-20T11:20:05.719783Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train= zipfile.ZipFile('../input/dogs-vs-cats/train.zip')\ntrain.extractall()","metadata":{"execution":{"iopub.status.busy":"2021-07-20T11:20:05.722305Z","iopub.execute_input":"2021-07-20T11:20:05.722637Z","iopub.status.idle":"2021-07-20T11:20:16.975941Z","shell.execute_reply.started":"2021-07-20T11:20:05.722604Z","shell.execute_reply":"2021-07-20T11:20:16.971768Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import pathlib\n\npath = pathlib.Path(\"train\")\nnew_dir = pathlib.Path(\"train_validation\")\n\ndef seperating(subset_name, start, end):\n    category = [\"cat\",\"dog\"]\n    for k in category:\n        dir = new_dir / subset_name / k\n        try:\n            os.makedirs(dir)\n        except OSError:\n            print(f\"This file {dir} exist.\")\n\n        fnames = [f\"{k}.{i}.jpg\" for i in range(start, end)]\n        for fname in fnames:\n            shutil.copyfile(src=path / fname,\n                            dst=dir / fname)\n\nseperating(\"validation\", start=0, end=200)\nseperating(\"train\", start=201, end=701)\nseperating(\"test\", start=800, end=900)\n","metadata":{"execution":{"iopub.status.busy":"2021-07-20T11:20:16.978929Z","iopub.execute_input":"2021-07-20T11:20:16.979363Z","iopub.status.idle":"2021-07-20T11:20:17.319792Z","shell.execute_reply.started":"2021-07-20T11:20:16.979319Z","shell.execute_reply":"2021-07-20T11:20:17.316661Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**So we have validation, train and test sets.**","metadata":{}},{"cell_type":"markdown","source":"<a id =\"path\"></a> \n<div class=\"alert alert-warning\" role=\"alert\">\n <font size=15 <b>  Indicate the Path </b> </font> </div>\n","metadata":{}},{"cell_type":"code","source":"# **Paths:**\n\npth_validation = \"./train_validation/validation\"\npth_train = \"./train_validation/train\"\npth_test = \"./train_validation/test\"\n\n\npath, dirs, files = next(os.walk(pth_test))\nprint(len(files))\n","metadata":{"execution":{"iopub.status.busy":"2021-07-20T11:20:17.332847Z","iopub.execute_input":"2021-07-20T11:20:17.339528Z","iopub.status.idle":"2021-07-20T11:20:17.360652Z","shell.execute_reply.started":"2021-07-20T11:20:17.33948Z","shell.execute_reply":"2021-07-20T11:20:17.358736Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from keras.preprocessing.image import ImageDataGenerator\n\ntrain_btch = ImageDataGenerator(preprocessing_function= tf.keras.applications.vgg16.preprocess_input) \\\n.flow_from_directory(directory=pth_train, target_size=(224,224), classes = [\"cat\",\"dog\"], batch_size=10)\n\ntest_btch = ImageDataGenerator(preprocessing_function= tf.keras.applications.vgg16.preprocess_input) \\\n.flow_from_directory(directory=pth_test, target_size=(224,224), classes = [\"cat\",\"dog\"], batch_size=10, shuffle=False)\n\nvalidation_btch = ImageDataGenerator(preprocessing_function= tf.keras.applications.vgg16.preprocess_input) \\\n.flow_from_directory(directory=pth_validation, target_size=(224,224), classes = [\"cat\",\"dog\"], batch_size=10)","metadata":{"execution":{"iopub.status.busy":"2021-07-20T11:20:17.370741Z","iopub.execute_input":"2021-07-20T11:20:17.373978Z","iopub.status.idle":"2021-07-20T11:20:17.865424Z","shell.execute_reply.started":"2021-07-20T11:20:17.373933Z","shell.execute_reply":"2021-07-20T11:20:17.86444Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"img, label = next(train_btch)","metadata":{"execution":{"iopub.status.busy":"2021-07-20T11:20:17.866729Z","iopub.execute_input":"2021-07-20T11:20:17.867094Z","iopub.status.idle":"2021-07-20T11:20:17.909558Z","shell.execute_reply.started":"2021-07-20T11:20:17.867057Z","shell.execute_reply":"2021-07-20T11:20:17.90869Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id =\"train\"></a> \n<div class=\"alert alert-warning\" role=\"alert\">\n <font size=15 <b>  Visualize Training Images </b> </font> </div>\n","metadata":{}},{"cell_type":"code","source":"# https://www.tensorflow.org/tutorials/images/classification#visualize_training_images\n\ndef plotImg(images_arr):\n    fig, axes = plt.subplots(1, 10, figsize=(15,15))\n    axes = axes.flatten()\n    for img, ax in zip( images_arr, axes):\n        ax.imshow(img)\n        ax.axis('off')\n    plt.tight_layout()\n    plt.show()\n\nplotImg(img)\nprint(label)    ","metadata":{"execution":{"iopub.status.busy":"2021-07-20T11:26:12.464982Z","iopub.execute_input":"2021-07-20T11:26:12.465347Z","iopub.status.idle":"2021-07-20T11:26:13.123944Z","shell.execute_reply.started":"2021-07-20T11:26:12.465315Z","shell.execute_reply":"2021-07-20T11:26:13.122939Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id =\"MDOEL\"></a> \n<div class=\"alert alert-warning\" role=\"alert\">\n <font size=15 <b>  Create Model </b> </font> </div>\n","metadata":{}},{"cell_type":"code","source":"from tensorflow.keras import layers\nfrom tensorflow.keras.layers.experimental.preprocessing import Rescaling\n\ninputs = keras.Input(shape=(224, 224, 3))\n\ndata = Rescaling(1./255)(inputs)\n# chose relu, it is also most common, \n# 'cause  and if the input value (x) is negative, then a value 0.0 is returned, otherwise, the value is returned.\n\ndata = layers.Conv2D(filters=32, kernel_size=(3,3) ,activation=\"relu\")(data)\ndata = layers.MaxPooling2D(pool_size=2, strides=2)(data)\ndata = layers.Conv2D(filters=64, kernel_size=(3,3), activation=\"relu\")(data)\ndata = layers.MaxPooling2D(pool_size=2, strides=2)(data)\ndata = layers.Conv2D(filters=128, kernel_size=(3,3), activation=\"relu\")(data)\ndata = layers.MaxPooling2D(pool_size=2, strides=2)(data)\ndata = layers.Conv2D(filters=256, kernel_size=(3,3), activation=\"relu\")(data)\ndata = layers.MaxPooling2D(pool_size=2, strides=2)(data)\ndata = layers.Conv2D(filters=256, kernel_size=(3,3), activation=\"relu\")(data)\ndata = layers.Flatten()(data)\n\n# sigmoid is okay for Binary Classification and Multilabel Classification\n\noutput = layers.Dense(2, activation=\"softmax\")(data)\n\n\nmodel = keras.Model(inputs=inputs, outputs=output)","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:15:40.991045Z","iopub.execute_input":"2021-07-20T12:15:40.991435Z","iopub.status.idle":"2021-07-20T12:15:41.063763Z","shell.execute_reply.started":"2021-07-20T12:15:40.991402Z","shell.execute_reply":"2021-07-20T12:15:41.062965Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.summary()\n","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:15:44.244811Z","iopub.execute_input":"2021-07-20T12:15:44.245159Z","iopub.status.idle":"2021-07-20T12:15:44.2592Z","shell.execute_reply.started":"2021-07-20T12:15:44.245124Z","shell.execute_reply":"2021-07-20T12:15:44.258262Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from tensorflow.keras import optimizers\n\nmodel.compile(loss=\"categorical_crossentropy\",optimizer=optimizers.RMSprop(lr=1e-4),\n              metrics=[\"accuracy\"])\n\n# with sigmoid we can use binary; with softmax we can also use categorical. same result that we will take.","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:15:48.956355Z","iopub.execute_input":"2021-07-20T12:15:48.95669Z","iopub.status.idle":"2021-07-20T12:15:48.969035Z","shell.execute_reply.started":"2021-07-20T12:15:48.956658Z","shell.execute_reply":"2021-07-20T12:15:48.967913Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Short note: \n\nWhy 224 224 : \nVGG-16 Network Architecture. Output channels have shrinking dimensions (h x w). [Source: https://bit.ly/36tOKUC]\n\nVGGNET is succesful with max pooling. Pooling is for changing the dimesions. LeNet was successful with average pooling etc. 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"}}},{"cell_type":"code","source":"callbacks = [\n    keras.callbacks.ModelCheckpoint(\n        filepath=\"convnet_from_scratch.keras\",\n        save_best_only=True,\n        monitor=\"val_loss\")\n]\nhist = model.fit(\n    train_btch,\n    epochs=20,\n    validation_data=validation_btch,\n    callbacks=callbacks,\n    verbose=2)","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:17:21.813641Z","iopub.execute_input":"2021-07-20T12:17:21.813984Z","iopub.status.idle":"2021-07-20T12:20:09.131604Z","shell.execute_reply.started":"2021-07-20T12:17:21.813949Z","shell.execute_reply":"2021-07-20T12:20:09.130731Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\n\nloss = hist.history[\"loss\"]\nval_loss = hist.history[\"val_loss\"]\nacc = hist.history[\"accuracy\"]\nval_acc = hist.history[\"val_accuracy\"]\n\n\nepoch = range(1, len(acc) + 1)\n\n\nplt.plot(epoch, loss, \"--g\", label=\"Training loss\")\nplt.plot(epoch, val_loss, \"g\", label=\"Validation loss\")\nplt.title(\"Loss\")\nplt.xlabel(\"epoch\")\nplt.legend()\nplt.figure()\n\nplt.plot(epoch, acc, \"-r\", label=\"Training accuracy\")\nplt.plot(epoch, val_acc, \"r\", label=\"Validation accuracy\")\nplt.title(\"Accuracy\")\nplt.xlabel(\"epoch\")\n\nplt.legend()\nplt.figure()\n\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:20:09.133308Z","iopub.execute_input":"2021-07-20T12:20:09.133667Z","iopub.status.idle":"2021-07-20T12:20:09.622769Z","shell.execute_reply.started":"2021-07-20T12:20:09.133631Z","shell.execute_reply":"2021-07-20T12:20:09.621819Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"OK, there is overfitting. But we will fix it, later :) . ","metadata":{}},{"cell_type":"markdown","source":"<a id =\"pred\"></a> \n<div class=\"alert alert-danger\" role=\"alert\">\n <font size=15 <b>  Predict </b> </font> </div>\n\n","metadata":{}},{"cell_type":"code","source":"test_img, test_label = next(test_btch)\nplotImg(test_img)\nprint(test_label)","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:21:14.605503Z","iopub.execute_input":"2021-07-20T12:21:14.605844Z","iopub.status.idle":"2021-07-20T12:21:15.195293Z","shell.execute_reply.started":"2021-07-20T12:21:14.605811Z","shell.execute_reply":"2021-07-20T12:21:15.194404Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_btch.classes","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:22:21.041479Z","iopub.execute_input":"2021-07-20T12:22:21.041814Z","iopub.status.idle":"2021-07-20T12:22:21.048209Z","shell.execute_reply.started":"2021-07-20T12:22:21.041783Z","shell.execute_reply":"2021-07-20T12:22:21.047366Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"predictions= model.predict(x=test_btch,verbose=0)","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:24:08.125083Z","iopub.execute_input":"2021-07-20T12:24:08.125509Z","iopub.status.idle":"2021-07-20T12:24:09.401072Z","shell.execute_reply.started":"2021-07-20T12:24:08.125471Z","shell.execute_reply":"2021-07-20T12:24:09.400054Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"np.round(predictions)","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:24:20.768277Z","iopub.execute_input":"2021-07-20T12:24:20.768826Z","iopub.status.idle":"2021-07-20T12:24:20.797229Z","shell.execute_reply.started":"2021-07-20T12:24:20.768754Z","shell.execute_reply":"2021-07-20T12:24:20.795875Z"},"collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id =\"cm\"></a> \n\n<div class=\"alert alert-warning\" role=\"alert\">\n <font size=15 <b>  CONFUSION MATRIX </b> </font> \n</div>\n","metadata":{}},{"cell_type":"code","source":"cm = confusion_matrix(y_true=test_btch.classes, y_pred=np.argmax(predictions,axis=-1))\n\n# Argmax is most commonly used in machine learning for finding\n# the class with the largest predicted probability. \n# [https://machinelearningmastery.com/argmax-in-machine-learning/]","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:30:19.083425Z","iopub.execute_input":"2021-07-20T12:30:19.0838Z","iopub.status.idle":"2021-07-20T12:30:19.091854Z","shell.execute_reply.started":"2021-07-20T12:30:19.083766Z","shell.execute_reply":"2021-07-20T12:30:19.09087Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def plot_confusion_matrix(cm, classes,\n                          normalize=False,\n                          title='Confusion matrix',\n                          cmap=plt.cm.Blues):\n    \"\"\"\n    This function prints and plots the confusion matrix.\n    Normalization can be applied by setting `normalize=True`.\n    \"\"\"\n    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n    plt.title(title)\n    plt.colorbar()\n    tick_marks = np.arange(len(classes))\n    plt.xticks(tick_marks, classes, rotation=45)\n    plt.yticks(tick_marks, classes)\n\n    if normalize:\n        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n        print(\"Normalized confusion matrix\")\n    else:\n        print('Confusion matrix, without normalization')\n\n    print(cm)\n\n    thresh = cm.max() / 2.\n    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n        plt.text(j, i, cm[i, j],\n            horizontalalignment=\"center\",\n            color=\"white\" if cm[i, j] > thresh else \"black\")\n\n    plt.tight_layout()\n    plt.ylabel('True label')\n    plt.xlabel('Predicted label')\n    \n    \n# [https://scikit-learn.org/0.18/auto_examples/model_selection/plot_confusion_matrix.html]","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:34:04.460374Z","iopub.execute_input":"2021-07-20T12:34:04.460743Z","iopub.status.idle":"2021-07-20T12:34:04.472535Z","shell.execute_reply.started":"2021-07-20T12:34:04.460711Z","shell.execute_reply":"2021-07-20T12:34:04.471309Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_btch.class_indices","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:34:22.054693Z","iopub.execute_input":"2021-07-20T12:34:22.055029Z","iopub.status.idle":"2021-07-20T12:34:22.060564Z","shell.execute_reply.started":"2021-07-20T12:34:22.054998Z","shell.execute_reply":"2021-07-20T12:34:22.059578Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cm_labels = [\"cat\",\"dog\"]\nplot_confusion_matrix(cm=cm,classes = cm_labels, title = \"CM\")","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:35:47.803671Z","iopub.execute_input":"2021-07-20T12:35:47.803995Z","iopub.status.idle":"2021-07-20T12:35:48.02808Z","shell.execute_reply.started":"2021-07-20T12:35:47.803965Z","shell.execute_reply":"2021-07-20T12:35:48.027286Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"64+69 = 133\n\n\n31+36 = 67 ","metadata":{}},{"cell_type":"markdown","source":"<a id =\"fine\"></a> \n\n<div class=\"alert alert-danger\" role=\"alert\">\n<font size=15 <b>  FINE-TUNING </b> </font>  \n</div>\n","metadata":{}},{"cell_type":"code","source":"vgg16_model = tf.keras.applications.vgg16.VGG16()","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:43:18.864919Z","iopub.execute_input":"2021-07-20T12:43:18.865283Z","iopub.status.idle":"2021-07-20T12:43:24.298379Z","shell.execute_reply.started":"2021-07-20T12:43:18.865249Z","shell.execute_reply":"2021-07-20T12:43:24.295268Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"vgg16_model.summary()","metadata":{"execution":{"iopub.status.busy":"2021-07-20T12:43:43.779411Z","iopub.execute_input":"2021-07-20T12:43:43.779827Z","iopub.status.idle":"2021-07-20T12:43:43.796886Z","shell.execute_reply.started":"2021-07-20T12:43:43.779795Z","shell.execute_reply":"2021-07-20T12:43:43.796092Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from keras.models import Model\n\nmodel = Sequential()\n\nfor layer in vgg16_model.layers[:-1]:\n    model.add(layer)\n    \n","metadata":{"execution":{"iopub.status.busy":"2021-07-20T13:19:30.154916Z","iopub.execute_input":"2021-07-20T13:19:30.155277Z","iopub.status.idle":"2021-07-20T13:19:30.244305Z","shell.execute_reply.started":"2021-07-20T13:19:30.155244Z","shell.execute_reply":"2021-07-20T13:19:30.243444Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.summary()","metadata":{"execution":{"iopub.status.busy":"2021-07-20T13:19:33.017833Z","iopub.execute_input":"2021-07-20T13:19:33.018158Z","iopub.status.idle":"2021-07-20T13:19:33.037351Z","shell.execute_reply.started":"2021-07-20T13:19:33.018128Z","shell.execute_reply":"2021-07-20T13:19:33.032471Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"for layer in model.layers:\n    layer.trainable = False\nmodel.add(Dense(2, activation=\"softmax\"))","metadata":{"execution":{"iopub.status.busy":"2021-07-20T13:19:48.15694Z","iopub.execute_input":"2021-07-20T13:19:48.157288Z","iopub.status.idle":"2021-07-20T13:19:48.173833Z","shell.execute_reply.started":"2021-07-20T13:19:48.157254Z","shell.execute_reply":"2021-07-20T13:19:48.173092Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.summary()","metadata":{"execution":{"iopub.status.busy":"2021-07-20T13:19:50.203947Z","iopub.execute_input":"2021-07-20T13:19:50.2043Z","iopub.status.idle":"2021-07-20T13:19:50.221931Z","shell.execute_reply.started":"2021-07-20T13:19:50.204261Z","shell.execute_reply":"2021-07-20T13:19:50.221141Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"\nmodel.compile(loss=\"categorical_crossentropy\",optimizer=optimizers.RMSprop(lr=1e-3),\n              metrics=[\"accuracy\"])","metadata":{"execution":{"iopub.status.busy":"2021-07-20T13:24:10.457251Z","iopub.execute_input":"2021-07-20T13:24:10.457604Z","iopub.status.idle":"2021-07-20T13:24:10.474768Z","shell.execute_reply.started":"2021-07-20T13:24:10.457571Z","shell.execute_reply":"2021-07-20T13:24:10.473577Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.fit(x=train_btch,validation_data=validation_btch, epochs=5, verbose=2)","metadata":{"execution":{"iopub.status.busy":"2021-07-20T13:25:15.57017Z","iopub.execute_input":"2021-07-20T13:25:15.570559Z","iopub.status.idle":"2021-07-20T13:37:56.831312Z","shell.execute_reply.started":"2021-07-20T13:25:15.570527Z","shell.execute_reply":"2021-07-20T13:37:56.83028Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id =\"after\"></a> \n\n<div class=\"alert alert-success\" role=\"alert\">\n  <font size=15 <b>  PREDICT AFTER FINE TUNING  </b> </font>  \n</div>","metadata":{}},{"cell_type":"code","source":"predictions =model.predict(x=test_btch,verbose=0)","metadata":{"execution":{"iopub.status.busy":"2021-07-20T13:41:55.216844Z","iopub.execute_input":"2021-07-20T13:41:55.217197Z","iopub.status.idle":"2021-07-20T13:42:17.577301Z","shell.execute_reply.started":"2021-07-20T13:41:55.217149Z","shell.execute_reply":"2021-07-20T13:42:17.576053Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_btch.classes","metadata":{"execution":{"iopub.status.busy":"2021-07-20T13:42:17.582419Z","iopub.execute_input":"2021-07-20T13:42:17.582981Z","iopub.status.idle":"2021-07-20T13:42:17.595584Z","shell.execute_reply.started":"2021-07-20T13:42:17.582941Z","shell.execute_reply":"2021-07-20T13:42:17.594342Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cm = confusion_matrix(y_true=test_btch.classes, y_pred=np.argmax(predictions,axis=-1))\n","metadata":{"execution":{"iopub.status.busy":"2021-07-20T13:42:53.86627Z","iopub.execute_input":"2021-07-20T13:42:53.866636Z","iopub.status.idle":"2021-07-20T13:42:53.875196Z","shell.execute_reply.started":"2021-07-20T13:42:53.866605Z","shell.execute_reply":"2021-07-20T13:42:53.872571Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_btch.class_indices","metadata":{"execution":{"iopub.status.busy":"2021-07-20T13:43:03.806053Z","iopub.execute_input":"2021-07-20T13:43:03.806468Z","iopub.status.idle":"2021-07-20T13:43:03.813321Z","shell.execute_reply.started":"2021-07-20T13:43:03.806432Z","shell.execute_reply":"2021-07-20T13:43:03.812237Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id =\"SON\"></a> \n<div class=\"alert alert-success\" role=\"alert\">\n  <font size=15 <b>  RESULT </b> </font>  \n</div>","metadata":{}},{"cell_type":"code","source":"cm_labels = [\"cat\",\"dog\"]\nplot_confusion_matrix(cm=cm,classes = cm_labels, title = \"CM after fine tuning\")","metadata":{"execution":{"iopub.status.busy":"2021-07-20T14:31:13.86199Z","iopub.execute_input":"2021-07-20T14:31:13.862345Z","iopub.status.idle":"2021-07-20T14:31:14.084749Z","shell.execute_reply.started":"2021-07-20T14:31:13.86231Z","shell.execute_reply":"2021-07-20T14:31:14.083648Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"JUST 7! :)) \n\n97+96/200= 0.965 ACC RATE.","metadata":{}},{"cell_type":"markdown","source":"**I welcome your comments for any corrections and improvements.**\n\n**Thanks**!","metadata":{}}]}