The Adversarial Loss
Min-max training in practice.
Loss Drives Both Players
Every GAN player learns from a loss that scores how well it did. The two losses pull in opposite directions, which is what makes training adversarial.
The Min-Max Game
GAN training is a min-max game: the discriminator tries to maximize its score while the generator tries to minimize it. Neither fully wins.