Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

L2 Regularization

Optimization · Level 2 of 5

L2 Regularization

Adding a penalty proportional to the sum of squared parameter values.

It favors smaller distributed coefficients rather than necessarily sparse ones.

Example

A regression objective penalizes large coefficients quadratically.

Listen to the definition and example

Audio transcript

L2 Regularization. Adding a penalty proportional to the sum of squared parameter values. It favors smaller distributed coefficients rather than necessarily sparse ones. For example: A regression objective penalizes large coefficients quadratically.

Explore this concept

Why it matters

This helps you understand what parameter updates are trying to improve and when they can fail.

Start with

Related concepts

Quick recall question

Try answering before looking back at the definition.

Put the terminology into context: How AI works · Machine-native representations · All learning paths

Manage browser learning data

“Remove my test data” clears all AI 101 and ML 101 scores, reviews, project checklists and rating selections, plus saved vocabulary and recent history in this browser. Test entries cannot be separated from other learning progress. Cookie preferences, security protections, submitted feedback, contact emails and past analytics are kept.