Notes on adversarial network

These days, I heard a lot about un-/semisupervised learning. Ivan Titov’s workshop at the beginning of this month is all about it and now Facebook published a blog post about unsupervised learning for images and videos. They use adversarial networks, i.e. one neural network generates images and another tries to differentiate between authentic and generated images. The first network is trained to fool the other and the second network is trained not to be fooled. Continue reading