Pooling layer
id:
pooling-layer-205-13896220
title:
Pooling layer
text:
In neural networks, a pooling layer is a kind of network layer that downsamples and aggregates information that is dispersed among many vectors into fewer vectors. It has several uses. It removes redundant information, reducing the amount of computation and memory required, makes the model more robust to small variations in the input, and increases the receptive field of neurons in later layers in the network.
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Pooling_layer
date created:
2024-09-09T20:37:02Z
date modified:
2024-09-10T17:35:19Z
main entity:
image:
fields total:
13
integrity:
13