Deep Learning - How Generative Adversarial Neural Neworks (GANs) work

Introduction

In this tutorial, we want to explain how Generative Adversarial Neural Networks (GANs) work. In order to do this, we take a look at the functionality and the idea behind GANs.

Principle

Generative Adversarial Neural Networks (GANs) are a special type of Artificial Neural Networks. This kind of model is able to generate new data sets that are similar to the inputs. A typical use case is the generation of fake images.