Before revision: Batch normalization (also known as batch norm) is a method used to make artificial neural networks faster and more stable through normalization of the layers' inputs by re-centering and re-scaling.
After revision: training ofBatch normalization (also known as batch norm) is a method used to make artificial neural networks faster and more stable through normalization of the layers' inputs by re-centering and re-scaling.