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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Batch Normalization

Deep Learning · Level 2 of 5

Batch Normalization

Normalizing layer activations using batch statistics with learned scale and shift.

Training usually uses batch statistics while evaluation uses accumulated estimates.

Example

A vision layer standardizes each channel before applying its learned scale.

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Audio transcript

Batch Normalization. Normalizing layer activations using batch statistics with learned scale and shift. Training usually uses batch statistics while evaluation uses accumulated estimates. For example: A vision layer standardizes each channel before applying its learned scale.

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

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