---
title: "Loss function mathematical notation"
description: "Loss function is a recurring research-paper notation family. Maps predictions, targets, and model parameters to a scalar quantity that training seeks to…"
canonical_url: "https://fanout.sh/labs/math-decoder/symbol/loss-function"
md_url: "https://fanout.sh/labs/math-decoder/symbol/loss-function.md"
last_updated: "2026-08-09"
access: "public"
---

# Loss function mathematical notation

Loss function is a recurring research-paper notation family. Maps predictions, targets, and model parameters to a scalar quantity that training seeks to…

## Public overview

Loss function is a recurring research-paper notation family. Maps predictions, targets, and model parameters to a scalar quantity that training seeks to minimize.

Loss function: Maps predictions, targets, and model parameters to a scalar quantity that training seeks to minimize. Example: Choose parameters that make the training criterion small.

---
This representation contains public Fanout content only. Protected Pro lessons, account data, billing, checkout, and pricing are not included.

Browse the public content map: https://fanout.sh/sitemap.md