An interactive visual tour of why GANs use log, what minG maxD really means, and how the two-player game reaches Nash equilibrium.
7 slidesInteractive chartsMath intuition
Slide 01 / 7
Two players, one game
A GAN is a two-player zero-sum game. The Generator G tries to produce fake data so convincing that the Discriminator D cannot tell it apart from real data.
Generator G
Takes random noise z from pz(z) and maps it to fake data G(z).
Discriminator D
Outputs D(x) in [0,1], the probability that x is real.