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We introduce a new normalization technique that exhibits the fast convergenceproperties of batch normalization using a transformation of layer weightsinstead of layer outputs. The proposed technique keeps the contribution ofpositive and negative weights to the layer output balanced. We validate ourmethod on a set of standard benchmarks including CIFAR-10/100, SVHN and ILSVRC2012 ImageNet.

Controlling Covariate Shift using Balanced Normalization of Weights