Generative Adversarial Network (GAN) Architecture

This diagram represents the basic architecture of a Generative Adversarial Network (GAN). It consists of two main components: the Generator (G) and the Discriminator (D). The Generator creates data that is intended to pass for real data, while the Discriminator evaluates the data for authenticity; that is, it judges whether each instance of data it reviews belongs to the actual dataset or not.