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Smooth Function Approximation by Deep Neural Networks with General Activation Functions
There has been a growing interest in expressivity of deep neural networks. However, most of the existing work about this topic focuses only on the specific activation function such as ReLU or sigmoid. In this paper, we investigate the approximation ability of deep neural networks with a broad class...
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| Publicat a: | Entropy (Basel) |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7515121/ https://ncbi.nlm.nih.gov/pubmed/33267341 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21070627 |
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