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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Bibliographic Details

Main Author:	Mohamad Rom, Abdul Rahman
Format:	Thesis
Language:	en
Published:	2025
Subjects:	Q Science (General) General. Including nature conservation, geographical distribution
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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