Layer normalization mathematical notation

Layer normalization is a recurring research-paper notation family. Centers and scales features within each example, then applies learned per-feature gain and bias parameters.

Layer normalization: Centers and scales features within each example, then applies learned per-feature gain and bias parameters. Example: Normalize each token's features and then learn a new scale and offset.