Web Reference: May 18, 2021 · In this article, we will explore what Batch Norm is, why we need it and how it works. You might also enjoy reading my other article on Batch Norm which explains why Batch Norm works so well. One reason why does batch norm work is that it normalizes not only the input features but also further values in the hidden units to take on a similar range of values that can speed up learning. In artificial neural networks, batch normalization (also known as batch norm) is a normalization technique used to make training faster and more stable by adjusting the inputs to each layer—re-centering them around zero and re-scaling them to a standard size.
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