Improving Neural Network Efficiency Using Piecewise Linear Approximation of Activation Functions
Activation functions play a pivotal role in Neural Networks by enabling the modeling of complex non-linear relationships within data. However, the computational cost associated with certain activation functions, such as the hyperbolic tangent (tanh) and its gradient, can be substantial. In this stu...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2025-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/139005 |
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