Seonglae ChoGenerative Adversarial Network
Have been demonstrated to cover less of the generation space in comparison to explicit likelihood models ( overcome this)
Learn how to generate samples by competing like a counterfeiter and police, advancing through mini-maximizing error loss
GAN Notion
GANs
Generative adversarial network
A generative adversarial network (GAN) is a class of machine learning frameworks designed by Ian Goodfellow and his colleagues in June 2014. 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.
https://en.wikipedia.org/wiki/Generative_adversarial_network
