Generative Adversarial Networks.

Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a collection of training examples and learn the probability distribution that generated them. Generative Adversarial Networks...

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Detalles Bibliográficos

Publicado en:	Communications of the ACM Vol. 63; no. 11; pp. 139 - 145
Autores principales:	Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Bing Xu, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron, Bengio, Yoshua
Formato:	Artículo
Publicado:	Association for Computing Machinery Nov2020
Materias:	Generative programming (Computer science) Artificial intelligence Algorithms Game theory
Acceso en línea:	Ver este registro en EBSCOhost