Low-Energy Deep Belief Networks Using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons-Reference-Cited by-同舟云学术

Low-Energy Deep Belief Networks Using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons

Published:2018-05-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 on Great Lakes Symposium on VLSI
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Author:

Zand Ramtin¹,Camsari Kerem Yunus²,Pyle Steven D.¹,Ahmed Ibrahim³,Kim Chris H.³,DeMara Ronald F.¹

Affiliation:

1. University of Central Florida, Orlando, FL, USA

2. Purdue University, West Lafayette, IN, USA

3. University of Minnesota, Minneapolis, MN, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3194554.3194558

Reference2 articles.

1. David H Ackley Geoffrey E Hinton and Terrence J Sejnowski. 1985. A learning algorithm for Boltzmann machines. Cognitive science Vol. 9 1 (1985) 147--169. David H Ackley Geoffrey E Hinton and Terrence J Sejnowski. 1985. A learning algorithm for Boltzmann machines. Cognitive science Vol. 9 1 (1985) 147--169.

2. VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing

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