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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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Bibliografski detalji
Izdano u:Proc Math Phys Eng Sci
Glavni autori: Jagtap, Ameya D., Kawaguchi, Kenji, Em Karniadakis, George
Format: Artigo
Jezik:Inglês
Izdano: The Royal Society 2020
Teme:
Online pristup: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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