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عنوان
A guide to convolutional neural networks for computer vision

پدید آورنده
/ Salman Khan... [et al.].,Authors: Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah, M Bennamoun.

موضوع
Computer vision -- Mathematical models.,Neural networks (Computer science).,Neural networks, Computer vision, Mathematical models, Computer science.

رده

کتابخانه
Central library and document university of Kurdistan

محل استقرار
استان: Kurdistan ـ شهر: Sanandaj

Central library and document university of Kurdistan

تماس با کتابخانه : 9-08733624006و 08733664600

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9781681730219 (pbk)
(Number (ISBN
9781681730226 (ebook)

NATIONAL BIBLIOGRAPHY NUMBER

Number
2069

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
A guide to convolutional neural networks for computer vision
General Material Designation
[electronic resources]
First Statement of Responsibility
/ Salman Khan... [et al.].

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
[San Rafael, California]
Name of Publisher, Distributor, etc.
: Morgan & Claypool
Date of Publication, Distribution, etc.
, 2018.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
184 pages.
Other Physical Details
: illustrations (color).

SERIES

Series Title
Synthesis lectures on computer vision, # 15

NOTES PERTAINING TO TITLE AND STATEMENT OF RESPONSIBILITY

Text of Note
Authors: Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah, M Bennamoun.

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Bibliographical references pages [173]-184.

SUMMARY OR ABSTRACT

Text of Note
Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these applications, and recent developments in Convolutional Neural Networks (CNNs) have led to outstanding performance in these state-of-the-art visual recognition tasks and systems. As a result, CNNs now form the crux of deep learning algorithms in computer vision. This self-contained guide will benefit those who seek to both understand the theory behind CNNs and to gain hands-on experience on the application of CNNs in computer vision. It provides a comprehensive introduction to CNNs starting with the essential concepts behind neural networks: training, regularization, and optimization of CNNs. The book also discusses a wide range of loss functions, network layers, and popular CNN architectures, reviews the different techniques for the evaluation of CNNs, and presents some popular CNN tools and libraries that are commonly used in computer vision. Further, this text describes and discusses case studies that are related to the application of CNN in computer vision, including image classification, object detection, semantic segmentation, scene understanding, and image generation. This book is ideal for undergraduate and graduate students, as no prior background knowledge in the field is required to follow the material, as well as new researchers, developers, engineers, and practitioners who are interested in gaining a quick understanding of CNN models.

TOPICAL NAME USED AS SUBJECT

Entry Element
Computer vision -- Mathematical models.
Entry Element
Neural networks (Computer science).

UNCONTROLLED SUBJECT TERMS

Subject Term
Neural networks, Computer vision, Mathematical models, Computer science.

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Relator Code
Author
Khan, Salman,

ORIGINATING SOURCE

Country
ایران
Agency
Central Library of the Kurdistan University

e

BL
280328

a
Y

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