model = MobileNet(input_shape=(size, size, 1), alpha=1., weights=None, classes=NCATS)
model.compile(optimizer=Adam(lr=0.002), loss='categorical_crossentropy',
             metrics=[categorical_crossentropy, categorical_accuracy, top_3_accuracy])
print(model.summary())