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Tree-based convolutional neural netw...

Jin, Zhi.

Tree-based convolutional neural networksprinciples and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Tree-based convolutional neural networksby Lili Mou, Zhi Jin.
Reminder of title:	principles and applications /
Author:	Mou, Lili.
other author:	Jin, Zhi.
Published:	Singapore :Springer Singapore :2018.
Description:	xv, 96 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Neural networks (Computer science)
Online resource:	https://doi.org/10.1007/978-981-13-1870-2
ISBN:	9789811318702$q(electronic bk.)

Tree-based convolutional neural networksprinciples and applications /
Mou, Lili.

Tree-based convolutional neural networksprinciples and applications /[electronic resource] :by Lili Mou, Zhi Jin. - Singapore :Springer Singapore :2018. - xv, 96 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

Introduction -- Preliminaries and Related Work -- General Concepts of Tree-Based Convolutional Neural Networks (TBCNNs) -- TBCNN for Programs' Abstract Syntax Trees (ASTs) -- TBCNN for Constituency Trees in Natural Language Processing -- TBCNN for Dependency Trees in Natural Language Processing -- Concluding Remarks.

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.

ISBN: 9789811318702$q(electronic bk.)

Standard No.: 10.1007/978-981-13-1870-2doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Tree-based convolutional neural networksprinciples and applications /
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505 0 $a Introduction -- Preliminaries and Related Work -- General Concepts of Tree-Based Convolutional Neural Networks (TBCNNs) -- TBCNN for Programs' Abstract Syntax Trees (ASTs) -- TBCNN for Constituency Trees in Natural Language Processing -- TBCNN for Dependency Trees in Natural Language Processing -- Concluding Remarks.
520 $a 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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