Tree-Based Convolutional Neural Networks: Principles and Applications

Tree-Based Convolutional Neural Networks: Principles and Applications Lili Mou, Zhi Jin
This book proposes a novel neural architecture, tree-based convolutional neural networks (TBCNNs),for processing tree-structured data. TBCNNsare related to existing convolutional neural networks (CNNs) and recursive neural networks (RNNs), but they combine the merits of both: thanks to their short propagation path, they are as efficient in learning as CNNs; yet they are also as structure-sensitive as RNNs. In this book, readers will also find a comprehensive literature review of related work, detailed descriptions of TBCNNs and their variants, and experiments applied to program analysis and natural language processing tasks. It is also an enjoyable read for all those with a general interest in deep learning.
Categories:
Computers – Artificial Intelligence (AI)
Year:
2018
Edition:
1st ed.
Publisher:
Springer Singapore
Language:
english
Pages:
104
ISBN 10:
9811318700
ISBN 13:
9789811318702
Series:
SpringerBriefs in Computer Science
File:
71 MB