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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.

Hyperparameter

Models & Architectures · Level 2 of 5

Hyperparameter

A setting chosen outside the ordinary parameter-fitting process.

Some hyperparameters are tuned using validation data.

Example

A developer chooses batch size before running training.

Listen to the definition and example

Audio transcript

Hyperparameter. A setting chosen outside the ordinary parameter-fitting process. Some hyperparameters are tuned using validation data. For example: A developer chooses batch size before running training.

Explore this concept

A useful analogy

The settings chosen for a learning procedure before or around its fitting process.

Why it matters

This helps you distinguish a model’s structural assumptions from its learned parameter values.

Technical detail

Typical examples include learning rate, layer count, and regularization coefficient. Validation-based search operates outside an individual fitting run.

Common misconception

A hyperparameter is not ordinarily fitted by the same update rule as a model weight.

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

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