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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