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Emergence of Lie Symmetries in Functional Architectures Learned by CNNs
In this paper we study the spontaneous development of symmetries in the early layers of a Convolutional Neural Network (CNN) during learning on natural images. Our architecture is built in such a way to mimic some properties of the early stages of biological visual systems. In particular, it contain...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645966/ https://www.ncbi.nlm.nih.gov/pubmed/34880740 http://dx.doi.org/10.3389/fncom.2021.694505 |