Generative adversarial network

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GANs are generative adversarial networks. They were developed by Ian Goodfellow.
Goal: Learn to generate examples from the same distribution as your training set.

Basis Structure

GANs consist of a generator and a discriminator.

For iteration i
  For iteration j
    Update Generator
  Update Discriminator

Variations

CycleGan

InfoGAN

SinGAN

Paper