Temperature based Restricted Boltzmann Machines

Restricted Boltzmann machines (RBMs), which apply graphical models to learning probability distribution over a set of inputs, have attracted much attention recently since being proposed as building blocks of multi-layer learning systems called deep belief networks (DBNs). Note that temperature is a...

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Detalles Bibliográficos
Autores principales: Li, Guoqi, Deng, Lei, Xu, Yi, Wen, Changyun, Wang, Wei, Pei, Jing, Shi, Luping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725829/
https://www.ncbi.nlm.nih.gov/pubmed/26758235
http://dx.doi.org/10.1038/srep19133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725829/
https://www.ncbi.nlm.nih.gov/pubmed/26758235
http://dx.doi.org/10.1038/srep19133

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