Hyperparameter optimization for deep neural network models: a comprehensive study on methods and techniques

Author:

Roy Sunita,Mehera Ranjan,Pal Rajat Kumar,Bandyopadhyay Samir Kumar

Publisher

Springer Science and Business Media LLC

Subject

Software

Reference36 articles.

1. Alibrahim H, Ludwig SA (2021) Hyperparameter optimization: comparing genetic algorithm against grid search and Bayesian optimization. In: 2021 IEEE congress on evolutionary computation (CEC). IEEE, pp 1551–1559

2. Bengio Y (2000) Gradient-based optimization of hyperparameters. Neural Comput 12(8):1889–1900

3. Bergstra J, Bardenet R, Bengio Y, K’egl B (2011) Algorithms for hyperparameter optimization. Adv Neural Inf Process Syst 24:66

4. Bergstra J, Bengio Y (2012) Random search for hyperparameter optimization. J Mach Learn Res 13(2):66

5. Biswas S, Cobb AD, Sistrunk A, Ramakrishnan N, Jalaian B (2020) Better call surrogates: a hybrid evolutionary algorithm for hyperparameter optimization. arXiv preprint arXiv:2012.06453

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