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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L1 Regularization

Optimization · Level 2 of 5

L1 Regularization

Adding a penalty proportional to the sum of absolute parameter values.

This can encourage sparse solutions with some exact zero coefficients.

Example

A regression model removes some features through zeroed coefficients.

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Audio transcript

L1 Regularization. Adding a penalty proportional to the sum of absolute parameter values. This can encourage sparse solutions with some exact zero coefficients. For example: A regression model removes some features through zeroed 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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