A generative adversarial network (GAN) is a class of machine learning framework in which two neural networks contest with each other in a game. A generative adversarial network is composed of two neural networks: a generative network and a discriminative network. These work together to provide high-level simulation of conceptual tasks. GANs are becoming a popular ML model for online retail sales because of their ability to understand and recreate visual content with increasingly remarkable accuracy. Forbes in an article stated GANs to be the next generation of artificial intelligence.
