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

9 Nov 2018Corentin HardyErwan Le MerrerBruno Sericola

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... (read more)

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