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## classifier_from_little_data_script_2.py
import numpy as np
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Dropout, Flatten, Dense
from keras import applications

# dimensions of our images.
img_width, img_height = 150, 150

top_model_weights_path = 'bottleneck_fc_model.h5'
	import numpy as np
	from keras.preprocessing.image import ImageDataGenerator
	from keras.models import Sequential
	from keras.layers import Dropout, Flatten, Dense
	from keras import applications

	# dimensions of our images.
	img_width, img_height = 150, 150

	top_model_weights_path = 'bottleneck_fc_model.h5'