Machine Learning, Deep Learning, Artificial Intelligence, Neural Networks, Open Source.
samples as valid (it’s trying to fool the Discriminator after all). Second, weights are updated using the gradients computed by the Discriminator. Repeat! This is the key to understanding GANs: by treating its samples as valid and by applying the Discriminator weight updates, the Generator