Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of CNNs can be attributed to their ability to learn hierarchical representations from data. However, achieving opt...

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Bibliographic Details
Main Authors: Abdel-Hamid M. Emara, Ghada Atteia, Jawad Hasan Alkhateeb
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Automated hyperparameter tuning
convolutional neural networks (CNNs)
hyperparameter optimization
image processing
particle swarm optimization (PSO)
recognition accuracy
Online Access:https://ieeexplore.ieee.org/document/11087552/
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https://ieeexplore.ieee.org/document/11087552/

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