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Generalization with deep learning : ...

Li, Xiao-Li, (1969-)

Generalization with deep learning : = for improvement on sensing capability /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Generalization with deep learning :/ editors, Zhenghua Chen, Min Wu, Xiaoli Li.
其他題名:	for improvement on sensing capability /
其他作者:	Wu, Min,
出版者:	Singapore ;World Scientific, : c2021.,
面頁冊數:	xii, 314 p. :ill. (chiefly col.) ; : 25 cm.;
標題:	Remote sensing - Data processing. -
ISBN:	9789811218835 (cloth) :

Generalization with deep learning : = for improvement on sensing capability /
Generalization with deep learning :for improvement on sensing capability /editors, Zhenghua Chen, Min Wu, Xiaoli Li. - Singapore ;World Scientific,c2021. - xii, 314 p. :ill. (chiefly col.) ;25 cm.

Includes bibliographical references and index.

"Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The keymerit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deeplearning technology can be a very good candidate for improving sensingcapabilities. In this edited volume, we aim to narrow the gap between humanand machine by showcasing various deep learning applications in the area ofsensing. The book will cover the fundamentals of deep learning techniquesand their applications in real-world problems including activity sensing,remote sensing and medical sensing. It will demonstrate how different deeplearning techniques help to improve the sensing capabilities and enablescientists and practitioners to make insightful observations and generateinvaluable discoveries from different types of data"--

ISBN: 9789811218835 (cloth) :NT3003

LCCN: 2020034548Subjects--Topical Terms:

867310
Remote sensing
--Data processing.

LC Class. No.: TK7882.E2 / G44 2021

Dewey Class. No.: 006.3/1

Generalization with deep learning : = for improvement on sensing capability /
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245 0 0 $a Generalization with deep learning : $b for improvement on sensing capability / $c editors, Zhenghua Chen, Min Wu, Xiaoli Li.
260 # $a Singapore ; $a Hackensack, NJ : $b World Scientific, $c c2021.
300 $a xii, 314 p. : $b ill. (chiefly col.) ; $c 25 cm.
504 $a Includes bibliographical references and index.
520 # $a "Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The keymerit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deeplearning technology can be a very good candidate for improving sensingcapabilities. In this edited volume, we aim to narrow the gap between humanand machine by showcasing various deep learning applications in the area ofsensing. The book will cover the fundamentals of deep learning techniquesand their applications in real-world problems including activity sensing,remote sensing and medical sensing. It will demonstrate how different deeplearning techniques help to improve the sensing capabilities and enablescientists and practitioners to make insightful observations and generateinvaluable discoveries from different types of data"-- $c Provided bypublisher.
650 # 0 $a Remote sensing $x Data processing. $3 867310
650 # 0 $a Machine learning. $3 561253
650 # 0 $a Electronic surveillance $x Data processing. $3 1335162
650 # 0 $a Diagnostic imaging $x Data processing. $3 678955
700 1 # $a Wu, Min, $d 1974- $e editor. $3 1335161
700 1 # $a Li, Xiao-Li, $d 1969- $3 779168
700 1 # $a Chen, Zhenghua, $e editor. $3 1335160