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A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks
A fundamental challenge at the interface of machine learning and neuroscience is to uncover computational principles that are shared between artificial and biological neural networks. In deep learning, normalization methods such as batch normalization, weight normalization, and their many variants h...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MIT Press
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662716/ https://www.ncbi.nlm.nih.gov/pubmed/34474484 http://dx.doi.org/10.1162/neco_a_01439 |