Generative Adversarial Networks - What is a generative adversarial network?

A Generative Adversarial Network (GAN) is a form of deep learning architecture. It trains two neural networks in a competitive setup to generate new data that closely resembles the given training dataset. Examples of its application include generating new images based on an existing image database or creating original music from a collection of songs.