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...
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Autores principales: | , , , |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/b4104313267940bdbb1857785f437314 |
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