Dynamic point stochastic rounding algorithm for limited precision arithmetic in Deep Belief Network training
This paper reports how to train a Deep Belief Network (DBN) using only 8-bit fixed-point parameters. We propose a dynamic-point stochastic rounding algorithm that provides enhanced results compared to the existing stochastic rounding. We show that by using a variable scaling factor, the fixed-point...
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Main Authors: | , , , |
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Format: | Article |
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IEEE Computer Society
2017
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028585216&doi=10.1109%2fNER.2017.8008430&partnerID=40&md5=3d565633d6b0ee148b8349a9b15f1d76 http://eprints.utp.edu.my/20033/ |
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