How to extract the latent representation of a GAN


(Rajesh Karmakar) #1

Hi,

Suppose, I have trained a GAN on some dataset, MNIST. I don’t understand what is the latent representation in a GAN means. In autoencoder, z is the compressed hidden layer.

So, I can just extract the hidden layer representations and call that vector the hidden value.

How to extract such value in GAN? Could you show how to do that in Pytorch?

Cheers!