image with many different pixels all set correctly in the case of language modeling the final result was a vector that was very near the word for King but there was no need to decode that vector into some kind of extremely complicated observation set that corresponds to a king probably the biggest issue with generative adversarial networks and to some extent with other forms of adversarial training is that the training process does not always converge most of deep learning consists of minimizing a single cost function but