Web Reference: Jul 23, 2025 · Batch Normalization (BN) is a critical technique in the training of neural networks, designed to address issues like vanishing or exploding gradients during training. In this tutorial, we will implement batch normalization using PyTorch framework. Because the Batch Normalization is done over the C dimension, computing statistics on (N, H, W) slices, it’s common terminology to call this Spatial Batch Normalization. Nov 13, 2025 · The core idea behind Batch Normalization is to normalize the inputs of each layer in a neural network so that they have a mean of 0 and a variance of 1. This is done by standardizing the input across the mini - batch dimension.
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