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  Why does overlapped pooling help reduce overfitting in conv nets? 17



  self-study, deep-learning, conv-neural-network, overfitting



  asked by
  
  
    kedarps
  
  on 07:18PM - 02 Jun 17


  
  
    
    
  
  


I stumbled about this thread, where they are referencing the AlexNet paper with “We generally observe during training that models with overlapping pooling find it slightly more difficult to overfit”. I just wanted to give it a quick shot in my architecture, since it seems to be some kind of “forgotten” or no longer used design choice. And I wondered if it might be beneficial.