User:Shemati

Introduction

Generative adversarial networks (GANs) are one of the most important generative models, where a couple of discriminator and generator compete to each other to solve a minimax game. Based on the original GAN paper, when the training is finished and Nash Equilibrium is reached, the discriminator is nothing but a constant function that assigns a score of 0.5 everywhere.