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Generalization with deep learning : ...

Li, Xiao-Li, (1969-)

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Generalization with deep learning :/ editors, Zhenghua Chen, Min Wu, Xiaoli Li.
Reminder of title:	for improvement on sensing capability /
other author:	Chen, Zhenghua,
Published:	Singapore ;World Scientific, : c2021.,
Description:	xii, 314 p. :ill. (chiefly col.) ; : 25 cm.;
Subject:	Diagnostic imaging - 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:

678955
Diagnostic imaging
--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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008 211026s2021 si a b 001 0 eng
010 $a 2020034548
020 $a 9789811218835 (cloth) : $c NT3003
020 $z 9789811218842 (ebook)
020 $z 9789811218859 (ebook other)
035 $a 635066
040 $a DLC $b eng $c NFU
041 0 # $a eng
042 $a pcc
050 0 0 $a TK7882.E2 $b G44 2021
082 0 0 $a 006.3/1 $2 23
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 Diagnostic imaging $x Data processing. $3 678955
650 # 0 $a Electronic surveillance $x Data processing. $3 1335162
650 # 0 $a Machine learning. $3 561253
650 # 0 $a Remote sensing $x Data processing. $3 867310
700 1 # $a Chen, Zhenghua, $e editor. $3 1335160
700 1 # $a Li, Xiao-Li, $d 1969- $3 779168
700 1 # $a Wu, Min, $d 1974- $e editor. $3 1335161