Deep Learning, Artificial Intelligence, Gan, Generative Adversarial, Wgan.
range of [-c, c]. (Lines 9–11): A batch of fake samples from distribution z is sampled. This time, the average prediction for fake samples g(z) from the critic model f to update the generator through RMSProp. 2. Results Training Curves of WGAN This is the first time in GAN literature that such a