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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Main Authors: | Li, Guoqi, Deng, Lei, Xu, Yi, Wen, Changyun, Wang, Wei, Pei, Jing, Shi, Luping |
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其他作者: | School of Computer Science and Engineering |
格式: | Article |
語言: | English |
出版: |
2018
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/87524 http://hdl.handle.net/10220/46750 |
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機構: | Nanyang Technological University |
語言: | English |
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