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Feature and Label Association Based on Granulation Entropy for Deep Neural Networks
Pooling layers help reduce redundancy and the number of parameters before building a multilayered neural network that performs the remaining processing operations. Usually, pooling operators in deep learning models use an explicit topological organization, which is not always possible to obtain on m...
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| Publicado en: | Rough Sets |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7338159/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-52705-1_17 |
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