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?


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.