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.

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Vanishing Gradient

Deep Learning · Level 2 of 5

Vanishing Gradient

Gradients becoming too small to effectively update earlier computations.

Repeated multiplication by small derivatives can weaken the training signal.

Example

Early layers change very little in a deep sigmoid network.

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Audio transcript

Vanishing Gradient. Gradients becoming too small to effectively update earlier computations. Repeated multiplication by small derivatives can weaken the training signal. For example: Early layers change very little in a deep sigmoid network.

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

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