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Convergence Behavior of DNNs with Mutual-Information-Based Regularization
Information theory concepts are leveraged with the goal of better understanding and improving Deep Neural Networks (DNNs). The information plane of neural networks describes the behavior during training of the mutual information at various depths between input/output and hidden-layer variables. Prev...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517266/ https://www.ncbi.nlm.nih.gov/pubmed/33286499 http://dx.doi.org/10.3390/e22070727 |