def get_pre_trained_model():
pre_trained_model = InceptionV3(input_shape=(image_size, image_size, 3),
include_top=False,
weights=None)
DataHandler.extract_inception_model(local_weights_file)
pre_trained_model.load_weights(local_weights_file)
for layer in pre_trained_model.layers:
layer.trainable = False
print(pre_trained_model.summary())
return pre_trained_model
