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General Framework of Tree-Based Convolutional Neural Networks (TBCNNs)

  • Lili MouEmail author
  • Zhi Jin
Chapter
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

In this chapter, we introduce the general framework of the tree-based convolutional neural network (TBCNN). We first present the design philosophy and the general formula of TBCNN. Then we introduce several applications of TBCNN that will be analyzed in this book. We also highlight the technical difficulties of designing TBCNN in different scenarios, which will be addressed in future chapters.

Keywords

Convolutional neural network Tree-based convolution 

Copyright information

© The Author(s) 2018

Authors and Affiliations

  1. 1.AdeptMind ResearchTorontoCanada
  2. 2.Institute of SoftwarePeking UniversityBeijingChina

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