chainer.functions.batch_renormalization¶

chainer.functions.batch_renormalization(x, gamma, beta, rmax, dmax, eps=2e-05, running_mean=None, running_var=None, decay=0.9)[source]¶

Batch renormalization function.

This is an extension of batch normalization, which ensures that the training and inference models generate the same outputs that depend on individual examples rather than the entire minibatch.

See: Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models