CNN convolutional neural network pooling layer Pooling hands-on deep learning v2 pytorch

Enterprise 2022-04-20 05:41:21 views: null

Pooling pooling layer

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Common pooling layers

max pooling layer
Average pooling layer

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2. Code implementation

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The main effect of the pooling layer is to reduce the position sensitivity through stride. In the later implementation, Pooling is used less and less, because adding stride in the channel can also achieve the same effect, and adding various transpositions and offsets to the picture, the effect will be better.

reference

https://www.bilibili.com/video/BV1EV411j7nX/?p=1

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