This is a great collection, but there are some factual errors, I’m pretty certain. The image links use GANs, but text GANs have yet to catch up with “simple” di

This is a great collection, but there are some factual errors, I’m pretty certain. The image links use GANs, but text GANs have yet to catch up with “simple” discriminative models. The text links don’t use GANs, and the description of an RNN as not quite a GAN is just wrong in most ways you’d interpret it.