Deep-Learning-Nanodegree/P2 - Dog Breed Classifier/extract_bottleneck_features.py

def extract_VGG16(tensor):
	from keras.applications.vgg16 import VGG16, preprocess_input
	return VGG16(weights='imagenet', include_top=False).predict(preprocess_input(tensor))

def extract_VGG19(tensor):
	from keras.applications.vgg19 import VGG19, preprocess_input
	return VGG19(weights='imagenet', include_top=False).predict(preprocess_input(tensor))

def extract_Resnet50(tensor):
	from keras.applications.resnet50 import ResNet50, preprocess_input
	return ResNet50(weights='imagenet', include_top=False).predict(preprocess_input(tensor))

def extract_Xception(tensor):
	from keras.applications.xception import Xception, preprocess_input
	return Xception(weights='imagenet', include_top=False).predict(preprocess_input(tensor))

def extract_InceptionV3(tensor):
	from keras.applications.inception_v3 import InceptionV3, preprocess_input
	return InceptionV3(weights='imagenet', include_top=False).predict(preprocess_input(tensor))