Controlling Covariate Shift using Equilibrium Normalization of Weights

Defazio, Aaron, Bottou, Léon

arXiv.org Machine Learning 

We introduce a new normalization technique that exhibits the fast convergence properties of batch normalization using a transformation of layer weights instead of layer outputs. The proposed technique keeps the contribution of positive and negative weights to the layer output in equilibrium.

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