Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware
Traditional learning procedures for artificial intelligence rely on digital methods not suitable for physical hardware. Here, Nakajima et al. demonstrate gradient-free physical deep learning by augmenting a biologically inspired algorithm, accelerating the computation speed on optoelectronic hardwar...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2022-12-01
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| coleção: | Nature Communications |
| Acesso em linha: | https://doi.org/10.1038/s41467-022-35216-2 |
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