Optimization of neural networks via finite-value quantum fluctuations

We numerically test an optimization method for deep neural networks (DNNs) using quantum fluctuations inspired by quantum annealing. For efficient optimization, our method utilizes the quantum tunneling effect beyond the potential barriers. The path integral formulation of the DNN optimization gener...

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Detalles Bibliográficos
Autores principales: Ohzeki, Masayuki, Okada, Shuntaro, Terabe, Masayoshi, Taguchi, Shinichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028692/
https://www.ncbi.nlm.nih.gov/pubmed/29967442
http://dx.doi.org/10.1038/s41598-018-28212-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028692/
https://www.ncbi.nlm.nih.gov/pubmed/29967442
http://dx.doi.org/10.1038/s41598-018-28212-4

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