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Convolution Aware Initialization

Published in arXiv (Cornell University) • Feb 21, 2017
Authors:
Armen Aghajanyan

Abstract

Initialization of parameters in deep neural networks has been shown to have a big impact on the performance of the networks (Mishkin & Matas, 2015). The initialization scheme devised by He et al, allowed convolution activations to carry a constrained mean which allowed deep networks to be trained ef...

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