A comparison of pooling methods for convolutional neural networks

HIGHLIGHTS

• who: Afia Zafar et al. from the Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, School of Electronics, Computing, and Mathematics, University of Derby, Derby , GB, UK have published the research: A Comparison of Pooling Methods for Convolutional Neural Networks, in the Journal: (JOURNAL)
• what: The aim of this study is to keep readers informed of recent developments in pooling methods.
• how: P (F Sm )] P (F Si) is a pooling process with a size of Si and a stride of 1 and s is a vector with an . . .
  

   

  

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