---
title: "Layer normalization mathematical notation"
description: "Layer normalization is a recurring research-paper notation family. Centers and scales features within each example, then applies learned per-feature gain…"
canonical_url: "https://fanout.sh/labs/math-decoder/symbol/layer-normalization"
md_url: "https://fanout.sh/labs/math-decoder/symbol/layer-normalization.md"
last_updated: "2026-08-09"
access: "public"
---

# 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…

## Public overview

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.

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