國立虎尾科技大學 |

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:	Li, Xiao-Li,
出版者:	Singapore :World Scientific, : c2021.,
面頁冊數:	1 online resource (xii, 314 p.)
標題:	Machine learning. -
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/11784#t=toc
ISBN:	9789811218842

Generalization with deep learning = for improvement on sensing capability /
Generalization with deep learningfor improvement on sensing capability /[electronic resource] :editors, Zhenghua Chen, Min Wu, Xiaoli Li. - Singapore :World Scientific,c2021. - 1 online resource (xii, 314 p.)

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 key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data"--Publisher's website.

Mode of access: World Wide Web.

ISBN: 9789811218842Subjects--Topical Terms:

561253
Machine learning.

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 $h [electronic resource] : $b for improvement on sensing capability / $c editors, Zhenghua Chen, Min Wu, Xiaoli Li.
260 $a Singapore : $b World Scientific, $c c2021.
300 $a 1 online resource (xii, 314 p.)
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 key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data"--Publisher's website.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat Reader.
588 $a Description based on print version record.
650 0 $a Machine learning. $3 561253
650 0 $a Diagnostic imaging $x Data processing. $3 678955
650 0 $a Remote sensing $x Data processing. $3 867310
650 0 $a Electronic surveillance $x Data processing. $3 1335162
700 1 $a Li, Xiao-Li, $d 1969- $3 779168
700 1 $a Wu, Min, $d 1974- $e editor. $3 1335161
700 1 $a Chen, Zhenghua. $e editor. $1 https://orcid.org/0000-0002-1719-0328 $3 1358377
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/11784#t=toc