GoogLeNet

You can find the original GoogLeNet/Inception paper here .

GoogLeNet/Inception in Keras

Inception is also one of the models included in Keras Applications . Utilizing this model follows pretty much the same steps as using VGG, although this time you'll use the InceptionV3 architecture.

from keras.applications.inception_v3 import InceptionV3

model = InceptionV3(weights='imagenet', include_top=False)

Don't forget to perform the necessary pre-processing steps to any inputs you include! While the original Inception model used a 224x224 input like VGG, InceptionV3 actually uses a 299x299 input.