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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Regularization

Optimization · Level 2 of 5

Regularization

Methods that constrain or bias learning to improve generalization or stability.

Reducing overfitting does not guarantee better performance under every data distribution.

Example

A training objective penalizes excessively large coefficients.

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Audio transcript

Regularization. Methods that constrain or bias learning to improve generalization or stability. Reducing overfitting does not guarantee better performance under every data distribution. For example: A training objective penalizes excessively large coefficients.

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

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Objective Function

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