Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
The development of deep learning tec...
~
Zhongguo gong cheng yuan., Center for Electronics and Information Studies.
Linked to FindBook
Google Book
Amazon
博客來
The development of deep learning technologies = research on the development of electronic information engineering technology in China /
Record Type:
Electronic resources : Monograph/item
Title/Author:
The development of deep learning technologies/ cCenter for Electronics and Information Studies, Chinese Academy of Engineering.
Reminder of title:
research on the development of electronic information engineering technology in China /
Published:
Singapore :Springer Singapore : : 2020.,
Description:
xiv, 58 p. :ill., digital ;24 cm.
[NT 15003449]:
Chapter 1: Deep Learning: History and State-of-the-arts -- Chapter 2: Deep Learning Development Status in China -- Chapter 3: Future and Discussions.
Contained By:
Springer Nature eBook
Subject:
Machine learning. -
Online resource:
https://doi.org/10.1007/978-981-15-4584-9
ISBN:
9789811545849
The development of deep learning technologies = research on the development of electronic information engineering technology in China /
The development of deep learning technologies
research on the development of electronic information engineering technology in China /[electronic resource] :cCenter for Electronics and Information Studies, Chinese Academy of Engineering. - Singapore :Springer Singapore :2020. - xiv, 58 p. :ill., digital ;24 cm.
Chapter 1: Deep Learning: History and State-of-the-arts -- Chapter 2: Deep Learning Development Status in China -- Chapter 3: Future and Discussions.
This book is a part of the Blue Book series "Research on the Development of Electronic Information Engineering Technology in China," which explores the cutting edge of deep learning studies. A subfield of machine learning, deep learning differs from conventional machine learning methods in its ability to learn multiple levels of representation and abstraction by using several layers of nonlinear modules for feature extraction and transformation. The extensive use and huge success of deep learning in speech, CV, and NLP have led to significant advances toward the full materialization of AI. Focusing on the development of deep learning technologies, this book also discusses global trends, the status of deep learning development in China and the future of deep learning.
ISBN: 9789811545849
Standard No.: 10.1007/978-981-15-4584-9doiSubjects--Topical Terms:
533906
Machine learning.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
The development of deep learning technologies = research on the development of electronic information engineering technology in China /
LDR
:02032nmm a2200325 a 4500
001
2222336
003
DE-He213
005
20200714105001.0
006
m d
007
cr nn 008maaau
008
210108s2020 si s 0 eng d
020
$a
9789811545849
$q
(electronic bk.)
020
$a
9789811545832
$q
(paper)
024
7
$a
10.1007/978-981-15-4584-9
$2
doi
035
$a
978-981-15-4584-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q325.5
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.31
$2
23
090
$a
Q325.5
$b
.D489 2020
245
0 4
$a
The development of deep learning technologies
$h
[electronic resource] :
$b
research on the development of electronic information engineering technology in China /
$c
cCenter for Electronics and Information Studies, Chinese Academy of Engineering.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2020.
300
$a
xiv, 58 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Chapter 1: Deep Learning: History and State-of-the-arts -- Chapter 2: Deep Learning Development Status in China -- Chapter 3: Future and Discussions.
520
$a
This book is a part of the Blue Book series "Research on the Development of Electronic Information Engineering Technology in China," which explores the cutting edge of deep learning studies. A subfield of machine learning, deep learning differs from conventional machine learning methods in its ability to learn multiple levels of representation and abstraction by using several layers of nonlinear modules for feature extraction and transformation. The extensive use and huge success of deep learning in speech, CV, and NLP have led to significant advances toward the full materialization of AI. Focusing on the development of deep learning technologies, this book also discusses global trends, the status of deep learning development in China and the future of deep learning.
650
0
$a
Machine learning.
$3
533906
650
0
$a
Artificial intelligence.
$3
516317
650
2 4
$a
Popular Computer Science.
$3
2118806
650
2 4
$a
The Computer Industry.
$3
895945
650
2 4
$a
Asian Economics.
$3
2191385
710
2
$a
Zhongguo gong cheng yuan.
$b
Center for Electronics and Information Studies.
$3
3460974
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-981-15-4584-9
950
$a
Computer Science (SpringerNature-11645)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9395211
電子資源
11.線上閱覽_V
電子書
EB Q325.5
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login