Skip to main content
HT
HerbDev Application Rescue
← Learning hub

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.

Dense Layer

Neural Networks · Level 2 of 5

Dense Layer

A layer in which each output uses all input features.

Its affine computation uses a weight matrix and typically a bias vector.

Example

Every output unit combines all 20 input measurements.

Listen to the definition and example

Audio transcript

Dense Layer. A layer in which each output uses all input features. Its affine computation uses a weight matrix and typically a bias vector. For example: Every output unit combines all 20 input measurements.

Explore this concept

Why it matters

This is part of the vocabulary used to read network diagrams and understand parameter updates.

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.