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A comparative performance of different convolutional neural network activation functions on image classification

Activation functions are crucial in optimising Convolutional Neural Networks (CNNs) for image classification. While CNNs excel at capturingspatial hierarchies in images, the activation functions substantially impact their effectiveness. Traditional functions, such as ReLU and Sigmoid, have drawbacks...

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Bibliographic Details
Main Authors:	Azhary, Muhammad Zulhazmi Rafiqi, Ismail, Amelia Ritahani
Format:	Article
Language:	English
Published:	IIUM Press 2024
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/116734/7/116734_A%20comparative%20performance.pdf http://irep.iium.edu.my/116734/ https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/490/295
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