this stage one and then in stage two and there is where where it comes in you basically freeze the network so you freeze these weights down here these are frozen you don't train them anymore all you train is this one classification layer so the represent actually freeze also the representation layer here you only train the classifier on top in stage two but you train it using soft Max and using the cross-entropy loss so you you train the classifier in the old cross entropy way using just normal supervised learning the difference here