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There are three questions on this site related to this

  1. What is the effect of using pooling layers in CNNs?
  2. Is pooling a kind of dropout?
  3. What are the benefits of using max-pooling in convolutional neural networks?

I got the following useful information regarding the purpose of pooling. As per my understanding, the purposes based on priority, in general, are as follows:

  1. To decrease the size of the feature maps
  2. To make the model stronger in feature extraction

Are there any other purposes of pooling in CNN other than them?

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