語系:
繁體中文
English
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
Advanced deep learning for engineers...
~
Prakash, Kolla Bhanu.
FindBook
Google Book
Amazon
博客來
Advanced deep learning for engineers and scientists = a practical approach /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advanced deep learning for engineers and scientists/ edited by Kolla Bhanu Prakash ... [et al.].
其他題名:
a practical approach /
其他作者:
Prakash, Kolla Bhanu.
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
xvii, 285 p. :ill., digital ;24 cm.
內容註:
Introduction -- Introduction to ANN -- Introduction to Deep Learning -- Deep Soft Computing using Python -- Working with Keras -- Deep learning Applications using Python -- Advanced Deep learning techniques -- Conclusion.
Contained By:
Springer Nature eBook
標題:
Machine learning. -
電子資源:
https://doi.org/10.1007/978-3-030-66519-7
ISBN:
9783030665197
Advanced deep learning for engineers and scientists = a practical approach /
Advanced deep learning for engineers and scientists
a practical approach /[electronic resource] :edited by Kolla Bhanu Prakash ... [et al.]. - Cham :Springer International Publishing :2021. - xvii, 285 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8595. - EAI/Springer innovations in communication and computing..
Introduction -- Introduction to ANN -- Introduction to Deep Learning -- Deep Soft Computing using Python -- Working with Keras -- Deep learning Applications using Python -- Advanced Deep learning techniques -- Conclusion.
This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical approach to deep learning will enjoy this book. Presents practical basics to advanced concepts in deep learning and how to apply them through various projects; Discusses topics such as deep learning in smart grids and renewable energy & sustainable development; Explains how to implement advanced techniques in deep learning using Pytorch, Keras, Python programming.
ISBN: 9783030665197
Standard No.: 10.1007/978-3-030-66519-7doiSubjects--Topical Terms:
533906
Machine learning.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Advanced deep learning for engineers and scientists = a practical approach /
LDR
:02235nmm a2200337 a 4500
001
2242215
003
DE-He213
005
20210724131220.0
006
m d
007
cr nn 008maaau
008
211207s2021 sz s 0 eng d
020
$a
9783030665197
$q
(electronic bk.)
020
$a
9783030665180
$q
(paper)
024
7
$a
10.1007/978-3-030-66519-7
$2
doi
035
$a
978-3-030-66519-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q325.5
072
7
$a
TJK
$2
bicssc
072
7
$a
TEC041000
$2
bisacsh
072
7
$a
TJK
$2
thema
082
0 4
$a
006.31
$2
23
090
$a
Q325.5
$b
.A244 2021
245
0 0
$a
Advanced deep learning for engineers and scientists
$h
[electronic resource] :
$b
a practical approach /
$c
edited by Kolla Bhanu Prakash ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xvii, 285 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
EAI/Springer innovations in communication and computing,
$x
2522-8595
505
0
$a
Introduction -- Introduction to ANN -- Introduction to Deep Learning -- Deep Soft Computing using Python -- Working with Keras -- Deep learning Applications using Python -- Advanced Deep learning techniques -- Conclusion.
520
$a
This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical approach to deep learning will enjoy this book. Presents practical basics to advanced concepts in deep learning and how to apply them through various projects; Discusses topics such as deep learning in smart grids and renewable energy & sustainable development; Explains how to implement advanced techniques in deep learning using Pytorch, Keras, Python programming.
650
0
$a
Machine learning.
$3
533906
650
1 4
$a
Communications Engineering, Networks.
$3
891094
650
2 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Machine Learning.
$3
3382522
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
898250
700
1
$a
Prakash, Kolla Bhanu.
$3
3489825
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
EAI/Springer innovations in communication and computing.
$3
3299732
856
4 0
$u
https://doi.org/10.1007/978-3-030-66519-7
950
$a
Engineering (SpringerNature-11647)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9403270
電子資源
11.線上閱覽_V
電子書
EB Q325.5
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入