Machine Learning, Deep Learning, Computer Vision, Artificial Intelligence, Data Science.
Photo by Brigitta Schneiter  In discriminative models, like classification, we handcraft features to make models performing better. This practice is not needed if the model has enough capacity and it knows how to learn those features itself. In GAN, training models are non-trivial. It can take extra