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 stud...
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| Vydané v: | Proceedings of the International Florida Artificial Intelligence Research Society Conference Ročník 38; číslo 1 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
LibraryPress@UF
14.05.2025
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| ISSN: | 2334-0754, 2334-0762 |
| On-line prístup: | Získať plný text |
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