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#generative_adversarial_network

Generative adversarial network

Deep learning method

A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's gain is another agent's loss.

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Generative adversarial network Wasserstein GAN History of artificial neural networks Generative artificial intelligence Flow-based generative model Generative model Neural network (machine learning) StyleGAN Deep learning Ian Goodfellow

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