Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learning
Activation functions are essential for deep learning methods to learn and perform complex tasks such as image classification. Rectified Linear Unit (ReLU) has been widely used and become the default activation function across the deep learning community since 2012. Although ReLU has been popular, ho...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Program Studi Teknik Informatika
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/5227/1/AJ%202020%20%28102%29.pdf http://eprints.uthm.edu.my/5227/ http://dx.doi.org/10.26555/ijain.v4i2.249 |
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