Adversarial Networks (GANs)

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Two networks in competition to generate data.

GANs are a class of generative AI models that consist of two networks, a generator and a discriminator, engaged in a competitive learning process. They are used to generate realistic data, such as images and text.

GANs are instrumental in creating high-quality generative content and have applications in image synthesis, data generation, and content creation.