Decoding the basic Math in GAN — Simplified Version

Decoding the Basic Math in GAN — Simplified Version

What is the mathematical foundation of generative adversarial networks?

Generative Adversarial Networks or GANs have been a revolution in deep learning over the last decade. Since the first version of GAN that was released in 2014 by Ian Goodfellow et al., there have been numerous variants of GAN with some mind-blowing applications.

In this article we shall try to understand the basic mathematical foundation behind a GAN in simple terms.

To …

computer vision deep learning gan gans generative-adversarial machine learning math