resembles the data that was in the training set the reason that we call the training process for generative adverse cell network adversarial training is that the worst case input for one of these networks is generated by the other player and so one of the players is always trained to do as well as possible on the worst possible input it's worth mentioning that there are other works going on in the space of adversarial training where the goal is still to train on adversarial examples inputs that were maybe created by an