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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Dropout

Deep Learning · Level 2 of 5

Dropout

A training regularizer that randomly masks activations or connections.

Random masking discourages some forms of co-adaptation and is usually disabled at evaluation.

Example

A hidden layer randomly zeros some activations during training.

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Audio transcript

Dropout. A training regularizer that randomly masks activations or connections. Random masking discourages some forms of co-adaptation and is usually disabled at evaluation. For example: A hidden layer randomly zeros some activations during training.

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

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