Uzbelger, M Warren (2020) Literature review on generative adversarial networks PRE - Research Project, ENSTA.



This paper discusses a literature review on generative adversarial networks (GANs). Thispaper will first develop the architecture of GANs, by presenting the principle of this generativemodel as well as the generator network and the discriminator network, and then the theory, byfocusing on the notions of machine learning, unsupervised learning, game theory, random vectorgeneration method, implementation of cost function and by exploiting the theoretical results.Finally, the limitations of this model will be presented and the uses and improvements that havebeen made to GANs will be discussed.

Item Type:Thesis (PRE - Research Project)
Subjects:Mathematics and Applications
ID Code:8135
Deposited By:Warren UZBELGER
Deposited On:19 mai 2021 16:21
Dernière modification:19 mai 2021 16:21

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