GAN

GAN

Creator

Creator

Seonglae Cho

Created

Created

2019 Nov 18 7:44

Editor

Editor

Seonglae Cho

Edited

Edited

2025 Oct 10 12:28

Refs

Refs

Unsupervised learning

Generative Model

Transfer Learning

Generative Adversarial Network

Have been demonstrated to cover less of the generation space in comparison to explicit likelihood models (

Diffusion Model overcome this)

Learn how to generate samples by competing like a counterfeiter and police, advancing through mini-maximizing error loss

GAN Notion

Generator Network

Discriminator Network

GAN Minmax Game

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.

Generative adversarial network

https://en.wikipedia.org/wiki/Generative_adversarial_network

Generative adversarial network

Backlinks

Vision AI Reinforcement Learning Goal classifier Diffusion Model Normalizing flow GAN Adversarial Imitation Learning AI Object Unsupervised learning Implicit Density Estimation

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