Learning on tree architectures outperforms a convolutional feedforward network

Advanced deep learning architectures consist of tens of fully connected and convolutional hidden layers, currently extended to hundreds, are far from their biological realization. Their implausible biological dynamics relies on changing a weight in a non-local manner, as the number of routes between...

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Detalles Bibliográficos
Autores principales: Meir, Yuval, Ben-Noam, Itamar, Tzach, Yarden, Hodassman, Shiri, Kanter, Ido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886946/
https://www.ncbi.nlm.nih.gov/pubmed/36717568
http://dx.doi.org/10.1038/s41598-023-27986-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886946/
https://www.ncbi.nlm.nih.gov/pubmed/36717568
http://dx.doi.org/10.1038/s41598-023-27986-6

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