: Vocabulaire du TAL: generative adversarial network

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generative adversarial network

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).

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