MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets

A recent technical breakthrough in the domain of machine learning is the discovery and the multiple applications of Generative Adversarial Networks (GANs). Those generative models are computationally demanding, as a GAN is composed of two deep neural networks, and because it trains on large datasets...

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Podrobná bibliografia

Vydané v:	Proceedings - IEEE International Parallel and Distributed Processing Symposium s. 866 - 877
Hlavní autori:	Hardy, Corentin, Le Merrer, Erwan, Sericola, Bruno
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2019
Predmet:	Computational modeling Deep Learning Distributed Datasets Gallium nitride Generative Adversarial Network Generative adversarial networks Generators Machine learning Servers Training
ISSN:	1530-2075
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