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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

URI

http://data.loterre.fr/ark:/67375/LTK-LHTJL7BW-5

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