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Generative Adversarial Network - What is GAN and how does it work?


A Generative Adversarial Network (GAN) comprises two components: the generator, which learns to create plausible data, and the discriminator, which learns to differentiate between the generator's fabricated data and real data. The instances generated by the generator serve as negative training examples for the discriminator.