Parametric flatten-t swish: an adaptive nonlinear activation function for deep learning
Activation function is a key component in deep learning that performs non-linear mappings between the inputs and outputs. Rectified Linear Unit (ReLU) has been the most popular activation function across the deep learning community. However, ReLU contains several shortcomings that can result in ine...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Utara Malaysia
2021
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/28125/1/document%20%284%29.pdf https://doi.org/10.32890/jict.20.1.2021.9267 https://repo.uum.edu.my/id/eprint/28125/ https://www.e-journal.uum.edu.my/index.php/jict/article/view/12398 https://doi.org/10.32890/jict.20.1.2021.9267 |
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