Hyperparameter tuning in deep learning using NSGA-III: a Multi-Objective perspective
The rapid advancement of Deep Learning (DL) has introduced critical challenges in optimizing model performance while managing computational constraints. Traditional hyperparameter tuning methods such as manual search, grid search, and random search are inefficient and computationally expensive, fail...
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| Format: | Thesis |
| Language: | en |
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2025
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| Online Access: | https://ir.uitm.edu.my/id/eprint/132637/1/132637.pdf https://ir.uitm.edu.my/id/eprint/132637/ |
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