Computer Vision, Gans, Generative Adversarial, Generative Mo, Deep Learning.
data p(z) represents the input noise variable Discriminator (D) wants to maximize the objective function such that D(x) is close to 1 and D(G(z)) is close to 0. It simply means that the discriminator should identify all the images from the training set as Real (1) and all the generated images as