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How Does Batch Normalization Help Binary Training?

Published in arXiv (Cornell University) • Sep 18, 2019
NobleIDNI3P93W77R37S04
Authors:
Eyyüb Sari
,
Mouloud Belbahri
,
Vahid Partovi Nia

Abstract

Binary Neural Networks (BNNs) are difficult to train, and suffer from drop of accuracy. It appears in practice that BNNs fail to train in the absence of Batch Normalization (BatchNorm) layer. We find the main role of BatchNorm is to avoid exploding gradients in the case of BNNs. This finding suggest...

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