Answers.Body: <p>I haven't seen it as you describe and I don't think it would be much useful. Pooling layers are being gradually phased out of networks, because they don't seem to be that useful anymore. With the emergence of more and more conv-only architectures, I don't see that likely.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-08-24T10:56:35.153Z
Answers.LastActivityDate: 2019-08-24T10:56:35.153Z
Answers.UserDisplayName: Javier
Body: <p>Is it popular or effective to concatenate the results of mean-pooling and max-pooling, to get the invariance of the latter and the expressivity of the former?</p>
  
Tags: <convolutional-neural-networks><pooling><max-pooling><average-pooling>
Title: Is it effective to concatenate the results of mean-pooling and max-pooling?
UserDisplayName: user3180
ThreadText: # Is it effective to concatenate the results of mean-pooling and max-pooling?
  
  (Asked by: username_0 on 2019-08-24)
  
  Is it popular or effective to concatenate the results of mean-pooling and max-pooling, to get the invariance of the latter and the expressivity of the former?
  
  **Tags:** convolutional-neural-networks, pooling, max-pooling, average-pooling
  
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  ## 1 answers
  
  ### Answer by username_1 on 2019-08-24. Score: 3
  
  I haven't seen it as you describe and I don't think it would be much useful. Pooling layers are being gradually phased out of networks, because they don't seem to be that useful anymore. With the emergence of more and more conv-only architectures, I don't see that likely.
  
  
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