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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IIUM Press
2024
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| Subjects: | |
| 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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