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Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
Deep neural networks are among the most widely applied machine learning tools showing outstanding performance in a broad range of tasks. We present a method for folding a deep neural network of arbitrary size into a single neuron with multiple time-delayed feedback loops. This single-neuron deep neu...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397757/ https://www.ncbi.nlm.nih.gov/pubmed/34453053 http://dx.doi.org/10.1038/s41467-021-25427-4 |