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Interval Adjoint Significance Analysis for Neural Networks
Optimal neural network architecture is a very important factor for computational complexity and memory footprints of neural networks. In this regard, a robust pruning method based on interval adjoints significance analysis is presented in this paper to prune irrelevant and redundant nodes from a neu...
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| Publicat a: | Computational Science – ICCS 2020 |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7304012/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50420-5_27 |
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