Which technique improves neural network training by normalizing layer inputs to have a mean of zero and a variance of one for each mini-batch?

Batch Normalization

Introduced by Ioffe and Szegedy in 2015, Batch Norm allows for higher learning rates and makes the network less sensitive to initialization. It also has a slight regularization effect, sometimes reducing the need for Dropout.