: ThesoTM: 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).

• 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. doi: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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