The original batch normalization paper includes two learned parameters: a scaling factor \gamma and a bias \beta. Caffe's implementation does not include these two. However, it is commonly replicated by adding a scaling+bias layer immidiately after the batch norm. This fuser me
source not stored for this graph (policy: none)