the generator that don't really seem all that relevant to the sample creation process and the discriminator spends a lot of its time learning to reject patterns that ideally it would just you know not ever have to encounter in the first place like on M NIST is a very simple data set with just handwritten digits on a background if you look at the weights that the discriminator learns in the first layer they often look a little bit like 40 a basis so early on in learning they're realizing that the generator often makes a lot of