Learnable Leaky ReLU (LeLeLU): An Alternative Accuracy-Optimized Activation Function
In neural networks, a vital component in the learning and inference process is the activation function. There are many different approaches, but only nonlinear activation functions allow such networks to compute non-trivial problems by using only a small number of nodes, and such activation function...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2021-12-01
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| Edice: | Information |
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| On-line přístup: | https://www.mdpi.com/2078-2489/12/12/513 |
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