Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
But there is a problem in optimizing generator objective. At the start of the game when the generator hasn’t learned anything, the gradient is usually very small and when it is doing very well, the gradients are very high (see Fig. 4). But we want the opposite behaviour. We therefore maximize