Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
generator by improving its discriminative capability. Below image shows the basic architecture of GAN. Fig.3. Building block of Generative Adversarial Network We define a prior on input noise variables P(z) and then the generator maps this to data distribution using a complex differentiable