Deep Learning, Artificial Intelligence, Gan, Generative Adversarial, Generative Ai.
networks (GANs) is described. 2. GAN Preliminaries GAN Training Process In generative modeling, training examples x are drawn from an unknown distribution pdata(x). The goal of a generative modeling algorithm is to learn a pmodel(x) that approximates pdata(x) as closely as possible. Training GANs