語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Tree-based convolutional neural netw...
~
Mou, Lili.
Tree-based convolutional neural networks = principles and applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Tree-based convolutional neural networks/ by Lili Mou, Zhi Jin.
其他題名:
principles and applications /
作者:
Mou, Lili.
其他作者:
Jin, Zhi.
出版者:
Singapore :Springer Singapore : : 2018.,
面頁冊數:
xv, 96 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Neural networks (Computer science) -
電子資源:
https://doi.org/10.1007/978-981-13-1870-2
ISBN:
9789811318702
Tree-based convolutional neural networks = principles and applications /
Mou, Lili.
Tree-based convolutional neural networks
principles 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
Standard No.: 10.1007/978-981-13-1870-2doiSubjects--Topical Terms:
528588
Neural networks (Computer science)
LC Class. No.: QA76.87
Dewey Class. No.: 006.32
Tree-based convolutional neural networks = principles and applications /
LDR
:02100nam a2200349 a 4500
001
928952
003
DE-He213
005
20181001141114.0
006
m d
007
cr nn 008maaau
008
190626s2018 si s 0 eng d
020
$a
9789811318702
$q
(electronic bk.)
020
$a
9789811318696
$q
(paper)
024
7
$a
10.1007/978-981-13-1870-2
$2
doi
035
$a
978-981-13-1870-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.87
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
072
7
$a
TJFM1
$2
thema
082
0 4
$a
006.32
$2
23
090
$a
QA76.87
$b
.M924 2018
100
1
$a
Mou, Lili.
$3
1209209
245
1 0
$a
Tree-based convolutional neural networks
$h
[electronic resource] :
$b
principles and applications /
$c
by Lili Mou, Zhi Jin.
260
$a
Singapore :
$c
2018.
$b
Springer Singapore :
$b
Imprint: Springer,
300
$a
xv, 96 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in computer science,
$x
2191-5768
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.
650
0
$a
Neural networks (Computer science)
$3
528588
650
0
$a
Machine learning.
$3
561253
650
0
$a
Artificial intelligence
$x
Data processing.
$3
574424
650
1 4
$a
Artificial Intelligence (incl. Robotics)
$3
593924
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Software Engineering.
$3
669632
700
1
$a
Jin, Zhi.
$3
792525
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in computer science.
$3
883114
856
4 0
$u
https://doi.org/10.1007/978-981-13-1870-2
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入