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Regularized Binary Network Training

Published in arXiv (Cornell University) • Dec 31, 2018
NobleIDNI1P80W17R36S11
Authors:
Sajad Darabi
,
Mouloud Belbahri
,
Matthieu Courbariaux

Abstract

There is a significant performance gap between Binary Neural Networks (BNNs) and floating point Deep Neural Networks (DNNs). We propose to improve the binary training method, by introducing a new regularization function that encourages training weights around binary values. In addition, we add train...

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