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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.

CNN

CNNs · Level 2 of 5

CNN (CNN)

A neural network using convolutional operations to process structured local patterns.

Weight sharing and locality help exploit spatial structure.

Example

An image network slides learned filters across pixels.

Listen to the definition and example

Audio transcript

CNN. A neural network using convolutional operations to process structured local patterns. Weight sharing and locality help exploit spatial structure. For example: An image network slides learned filters across pixels.

Explore this concept

A useful analogy

A reusable detector scanning local regions rather than learning a new detector at every location.

Why it matters

This helps you interpret feature shapes and spatial behavior in image networks.

Technical detail

Convolutional layers share spatial kernel parameters. Stacking layers and downsampling change channel counts and receptive fields.

Common misconception

Weight sharing does not make a CNN perfectly invariant to every translation.

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

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