Batch Normalization is a technique to improve learning in neural networks by normalizing the distribution of each input feature in each layer across each minibatch to N(0, 1).
I have a question about the understanding of the BatchNorm (BN later on). I have a convnet working nicely, I …
tensorflow machine-learning deep-learning conv-neural-network batch-normalization