BatchNorm

Batch Normalization, a technique introduced to stabilize deep neural network training, has become a cornerstone of modern deep learning, particularly in convolutional neural networks for computer visi…

A developer implemented batch normalization, layer normalization, and group normalization from scratch and compared their performance on a simple multi-layer perceptron (MLP) classifying the MNIST dat…

A developer explains the difference between LayerNorm and BatchNorm, showing that LayerNorm normalizes per token rather than per batch, which makes it ideal for Transformers. The post includes an inte…