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GANs frame learning as a two-player game where a generator tries to fool a discriminator, and the discriminator tries to detect fakes.
Generative Adversarial Networks (GANs) set up a two-player game where a generator tries to make fake samples that look real while a discriminator tries to tell real from fake.