Dynamics of Fourier Modes in Torus Generative Adversarial Networks

Dynamics of Fourier Modes in Torus Generative Adversarial Networks

Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating fully synthetic samples of a desired phenomenon with a high resolution. Despite their success, the training process of a GAN is highly unstable, and typically, it is necessary to implement several acces...

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Bibliographic Details
Main Authors: Ángel González-Prieto, Alberto Mozo, Edgar Talavera, Sandra Gómez-Canaval
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Mathematics
Subjects:
Generative Adversarial Networks
dynamical systems
machine learning
Morse theory
Nash equilibrium
Online Access:https://www.mdpi.com/2227-7390/9/4/325

Internet

https://www.mdpi.com/2227-7390/9/4/325

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