Computer Vision, Gans, Generative Adversarial, Generative Mo, Deep Learning.
generator models. This updates the parameters of both networks and subsequently improve the results. Both generator and discriminator are trained jointly in a minimax game: Here: p(data) represents the distribution of data from the training set D(x) is the probability that x comes from the training