Parallel/Distributed Intelligent Hyperparameters Search for Generative Artificial Neural Networks-Reference-Cited by-同舟云学术

Parallel/Distributed Intelligent Hyperparameters Search for Generative Artificial Neural Networks

Published:2021 Issue: Volume: Page:297-313
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Esteban Mathias^ORCID,Toutouh Jamal^ORCID,Nesmachnow Sergio^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-90539-2_20

Reference31 articles.

1. Akay, B., Karaboga, D., Akay, R.: A comprehensive survey on optimizing deep learning models by metaheuristics. Artificial Intelligence Review, pp. 1–66 (2021)

2. Al-Dujaili, A., Schmiedlechner, T., Hemberg, E., O’Reilly, U.M.: Towards distributed coevolutionary GANs. In: AAAI Symposium (2018)

3. Bergstra, J., Bardenet, R., Bengio, Y., Kégl, B.: Algorithms for hyper-parameter optimization. Advances in Neural Information Processing Systems, vol. 24 (2011)

4. Bergstra, J., Bengio, Y.: Random search for hyper-parameter optimization. Journal of Machine Learning Research, vol. 13, no. 2 (2012)

5. Birattari, M., Stützle, T., Paquete, L., Varrentrapp, K., et al.: A racing algorithm for configuring metaheuristics. In: Gecco, vol. 2 (2002)

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