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Generative adversarial network

Generative adversarial network

Deep learning method that trains two networks simultaneously without extensively annotated training data that compete with each other in a zero-sum game framework.

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Is a
Technology
Technology

Technology attributes

Related Industries
Generative AI
Generative AI

Other attributes

Founded Date
June 10, 2014
Parent Industry
Deep learning
Deep learning
Artificial neural network
Artificial neural network
Short Name
GAN0
Child Industry
...
Wikidata ID
Q25104379

Generative Adversarial Network (GAN) is a deep learning method that simultaneously trains two networks. A generator that learns to generate fake samples from an unknown distribution or noise and a discriminator that learns to identify fake from real samples.

It aims to model the natural image distribution by forcing the generated samples to be indistinguishable from natural images. GANs enable a various applications such as image generation, representation learning, image manipulation, object detection and video applications.

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Further Resources

Title
Author
Link
Type
Date

Evolutionary Generative Adversarial Networks

Chaoyue Wang, Chang Xu, Xin Yao, Dacheng Tao

https://arxiv.org/pdf/1803.00657.pdf

Academic paper

GANs in Action

Jakub Langr and Vladimir Bok

https://www.manning.com/books/gans-in-action

Web

Generative Adversarial Nets

Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley,Sherjil Ozair, Aaron Courville and Yoshua Bengio

http://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf

Academic paper

Generative Adversarial Networks

Moacir A. Ponti, Leonardo S. F. Ribeiro, Tiago S. Nazare, Tu Bui and John Collomosse

http://conteudo.icmc.usp.br/pessoas/moacir/p17sibgrapi-tutorial/2017-SIBGRAPI_Tutorial-DLCV-Part3-GANs.pdf

Academic paper

Generative Adversarial Networks

Stephan Halbritter

https://users.informatik.haw-hamburg.de/~ubicomp/projekte/master2017-gsem/Halbritter/folien.pdf

Academic paper

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