Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
E[log(D(G(z))] rather than minimizing E[log(1-D(G(z))] Fig.4. Cost for the Generator as a function of Discriminator response on the generated image The training process consists of simultaneous application of Stochastic Gradient Descent on Discriminator and Generator. While training, we alternate