Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
regularization effect as well: Each mini-batch is normalized using the mean / variance computed just on that mini batch This adds some noise to the values of z[l] within that mini batch, which is similar to the effect of dropout Hence this has a slight effect of regularization as well One thing to