Riemannian approach to batch normalization

Minhyung Cho, Jaehyung Lee

Neural Information Processing Systems 

This ambiguity in the optimization process can be removed by interpreting the space of weight vectors as a Riemannian manifold on which all the scaled versions of a weight vector correspond to a single point on the manifold.

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