Vocabulary

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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.

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Feature Hierarchy

Deep Learning · Level 2 of 5

Feature Hierarchy

Representations arranged from simpler patterns to more abstract combinations.

Higher layers often combine lower-layer signals, but interpretations are not guaranteed.

Example

Early vision filters detect edges that later stages combine into shapes.

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Audio transcript

Feature Hierarchy. Representations arranged from simpler patterns to more abstract combinations. Higher layers often combine lower-layer signals, but interpretations are not guaranteed. For example: Early vision filters detect edges that later stages combine into shapes.

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This helps explain why a neural model learns well, becomes unstable, or fails to generalize.

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

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