GEEbKi

In translation of book about deep learning and generative modelling it is said that in WGAN-GP models we should cut normalisation layers. This is strange because i can still see...

I am wondering how _build_adversarial method works. I see that This method is called only once during WGANGP init. I keep asking myself how line : self.set_trainable(self.generator, False) can work...