○ unseen · kind model · level 0 · 4h
- Requiere: Neural Network
A generator and discriminator trained against each other until the fakes are indistinguishable. Produced the first photorealistic image synthesis.
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 compete 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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- Requiere: Neural Network