Generative Adversarial Networks

Generative Adversarial Networks (GANs) are a type of generative AI. They are a neural network architecture where two networks compete with each other in a zero-sum game. The first network, the generator, tries to generate data that is similar to the real data. The second network, the discriminator, tries to distinguish between the generated data

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