AI Glossary

Pooling layer

What does “Pooling layer” mean?

Pooling layer: Reducing a group of activations to a summary value such as a maximum or average.

Pooling layer visual guide: Reducing a group of activations to a summary value such as a maximum or average.
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What is an example of “Pooling layer”?

Max pooling keeps the strongest response in each small image region.

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See also

Deep learningTermTrainingTermOverfittingTermResidual connectionTermReceptive fieldTerm

Same topic

Convolution kernelTermPre-trainingTermPolicy in reinforcement learningTermPreference datasetTermParameter-efficient fine-tuningTerm