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Towards understanding residual and dilated dense neural networks via convolutional sparse coding
Convolutional neural network (CNN) and its variants have led to many state-of-the-art results in various fields. However, a clear theoretical understanding of such networks is still lacking. Recently, a multilayer convolutional sparse coding (ML-CSC) model has been proposed and proved to equal such...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288437/ https://www.ncbi.nlm.nih.gov/pubmed/34691591 http://dx.doi.org/10.1093/nsr/nwaa159 |