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Hyperparameters optimization of convolutional neural network based on local autonomous competition harmony search algorithm

Journal of Computational Design and Engineering, 2023
Haibin Ouyang   +2 more
exaly  

Advancing hyperparameter optimization

Hyperparameter optimization (HPO) is a fundamental aspect of machine learning (ML), directly influencing model performance and adaptability. As a computationally expensive black-box optimization problem, HPO requires efficient algorithms to identify optimal hyperparameter configurations.
openaire   +1 more source

A conjugated evolutionary algorithm for hyperparameter optimization

2022 IEEE Congress on Evolutionary Computation (CEC), 2022
Luis Japa   +5 more
openaire   +2 more sources

Tuning the hyperparameter in ADAM optimizer

Applied Intelligence
A. G. Vigneshwara Raj   +2 more
openaire   +2 more sources

Optimizing Hyperparameters

Joseph Awange   +2 more
openaire   +1 more source

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