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Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks
We propose two approaches of locally adaptive activation functions namely, layer-wise and neuron-wise locally adaptive activation functions, which improve the performance of deep and physics-informed neural networks. The local adaptation of activation function is achieved by introducing a scalable p...
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| Publicado en: | Proc Math Phys Eng Sci |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
The Royal Society
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7426042/ https://ncbi.nlm.nih.gov/pubmed/32831616 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2020.0334 |
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