Dogs vs. Cats Redux: Kernels Edition

Dogs vs. Cats Redux: Kernels Edition

• Keras with VGG16 pre-trained model, Transfer Learning Practice
• Add 2 layer on top, like below

output = GlobalAveragePooling2D()(output)
model_vgg16_pred = Dense(2, activation='softmax')(output)

• a fit_generator,evaluate_generator,predict_generator way to handle data. Keep eyes on steps,steps_per_epoch,validation_steps,epochs, etc.

• better loss & metrics to train model faster and better.

model_vgg16_model.compile(loss='binary_crossentropy', optimizer='nadam',  metrics=['binary_accuracy'])