東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Deep belief nets in C++ and CUDA C.....

Masters, Timothy.

FindBook

Google Book

Amazon

博客來

Deep belief nets in C++ and CUDA C.. Volume 2,. Autoencoding in the complex domain

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep belief nets in C++ and CUDA C./ by Timothy Masters.
其他題名:	Autoencoding in the complex domain
作者:	Masters, Timothy.
出版者:	Berkeley, CA :Apress : : 2018.,
面頁冊數:	xi, 258 p. :digital ;24 cm.
內容註:	0. Introduction -- 1. Embedded Class Labels -- 2. Signal Preprocessing -- 3. Image Preprocessing -- 4. Autoencoding -- 5. Deep Operating Manual.
Contained By:	Springer eBooks
標題:	Neural networks (Computer science) -
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3646-8
ISBN:	9781484236468

Deep belief nets in C++ and CUDA C.. Volume 2,. Autoencoding in the complex domain
Masters, Timothy.

Deep belief nets in C++ and CUDA C.Volume 2,Autoencoding in the complex domain[electronic resource] /Autoencoding in the complex domainby Timothy Masters. - Berkeley, CA :Apress :2018. - xi, 258 p. :digital ;24 cm.

0. Introduction -- 1. Embedded Class Labels -- 2. Signal Preprocessing -- 3. Image Preprocessing -- 4. Autoencoding -- 5. Deep Operating Manual.

ISBN: 9781484236468

Standard No.: 10.1007/978-1-4842-3646-8doiSubjects--Topical Terms:

532070
Neural networks (Computer science)

LC Class. No.: QA76.87 / .M378 2018

Dewey Class. No.: 006.32

Deep belief nets in C++ and CUDA C.. Volume 2,. Autoencoding in the complex domain
LDR:01198nmm a2200325 a 4500 001 2146376
003 DE-He213
005 20181207170302.0
006 m d
007 cr nn 008maaau
008 190227s2018 cau s 0 eng d
020 $a 9781484236468 $q (electronic bk.)
020 $a 9781484236451 $q (paper)
024 7 $a 10.1007/978-1-4842-3646-8 $2 doi
035 $a 978-1-4842-3646-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87 $b .M378 2018
072 7 $a UMA $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a COM018000 $2 bisacsh
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .M423 2018
100 1 $a Masters, Timothy. $3 683540
245 1 0 $a Deep belief nets in C++ and CUDA C. $n Volume 2, $p Autoencoding in the complex domain $h [electronic resource] / $c by Timothy Masters.
246 3 0 $a Autoencoding in the complex domain
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a xi, 258 p. : $b digital ; $c 24 cm.
505 0 $a 0. Introduction -- 1. Embedded Class Labels -- 2. Signal Preprocessing -- 3. Image Preprocessing -- 4. Autoencoding -- 5. Deep Operating Manual.
650 0 $a Neural networks (Computer science) $3 532070
650 0 $a C++ (Computer program language) $3 527229
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Computing Methodologies. $3 830243
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 891123
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Big Data/Analytics. $3 2186785
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3646-8
950 $a Professional and Applied Computing (Springer-12059)