User:Shemati: Difference between revisions
Jump to navigation
Jump to search
(Created page with "== Presented By == Sobhan Hemati") |
|||
| Line 1: | Line 1: | ||
== | == 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. | |||
Revision as of 16:09, 13 November 2020
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.