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Tree-Based Convolutional Neural Networks: Principles and Applications
Paperback
Series: Springerbriefs in Computer Science
DatabasesGeneral ComputersProgramming
ISBN13: 9789811318696
Publisher: Springer Nature
Published: Oct 9 2018
Pages: 96
Weight: 0.38
Height: 0.24 Width: 6.14 Depth: 9.21
Language: English
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.
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