11. GoogLeNet
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.