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Concept information

... > entity > continuant > generically dependent continuant > information content entity > directive information entity > plan specification > algorithm > Neural networks models > generative adversarial network

Preferred term

generative adversarial network  

Definition(s)

  • "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).

Broader concept(s)

Synonym(s)

  • adversarial training

Bibliographic citation(s)

  • • Aggarwal, A., Mittal, M., & Battineni, G. (2021). Generative adversarial network : An overview of theory and applications. International Journal of Information Management Data Insights, 1(1), 100004. https://doi.org/10.1016/j.jjimei.2020.100004
  • • Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative adversarial nets. Proceedings of the International Conference on Neural Information Processing Systems (NIPS 2014), 2672‑2680.

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URI

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

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