Eliminating Network Depth: Genetic Algorithm for Parameter Optimization in CNNs

Eliminating Network Depth: Genetic Algorithm for Parameter Optimization in CNNs

Recent advances in Convolutional Neural Networks (CNNs) have significantly enhanced image classification performance. However, CNNs often require large numbers of parameters, leading to increased computational complexity, prolonged training times, and substantial resource demands. Achieving higher c...

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Bibliographic Details
Main Authors: M. Askari, S. Soleimani, M. H. Shakoor, M. Momeni
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
genetic algorithm
effective weights
image classification
Online Access:https://ieeexplore.ieee.org/document/10852290/
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https://ieeexplore.ieee.org/document/10852290/

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