Concept information
Término preferido
generative adversarial network
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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
- adversarial training
En otras lenguas
-
francés
-
entraînement antagoniste
URI
http://data.loterre.fr/ark:/67375/LTK-LHTJL7BW-5
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