Generative Adversarial Network (GAN) is a machine learning (ML) framework that consists of two neural networks, a generator, and a discriminator, competing against each other. The generator generates synthetic data samples while the discriminator differentiates between authentic and fake data.
Generative Adversarial Network (GAN)
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