Concept information
Término preferido
generative adversarial network
Definición
- Framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data distribution, and a discriminative model D that estimates the probability that a sample came from the training data rather than G. (Goodfellow et al., 2014, p. 1).
Concepto genérico
Etiquetas alternativas
- GAN
En otras lenguas
-
francés
-
GAN
URI
http://data.loterre.fr/ark:/67375/8LP-QT7ZMZVT-N
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