Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
capture the data distribution and a discriminator model D estimates the probability that a sample came from the data distribution rather than model distribution. Basically the task of the Generator is to generate natural looking images and the task of the Discriminator is to decide whether the