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...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!