Machine Learning, Deep Learning, Neural Networks, Data Science, Towards Data Science.
generator and a discriminator with unlimited capacity. Neural networks modelling essentially requires to define two things: an architecture and a loss function. We have already described the architecture of Generative Adversarial Networks. It consists in two networks: a generative network G(.) that