عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شابک
شابک
9781681730219 (pbk)
شابک
9781681730226 (ebook)
شماره کتابشناسی ملی
شماره
2069
زبان اثر
زبان متن نوشتاري يا گفتاري و مانند آن
انگلیسی
عنوان و نام پديدآور
عنوان اصلي
A guide to convolutional neural networks for computer vision
نام عام مواد
[electronic resources]
نام نخستين پديدآور
/ Salman Khan... [et al.].
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
[San Rafael, California]
نام ناشر، پخش کننده و غيره
: Morgan & Claypool
تاریخ نشرو بخش و غیره
, 2018.
مشخصات ظاهری
نام خاص و کميت اثر
184 pages.
ساير جزييات
: illustrations (color).
فروست
عنوان فروست
Synthesis lectures on computer vision, # 15
یادداشتهای مربوط به عنوان و پدیدآور
متن يادداشت
Authors: Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah, M Bennamoun.
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Bibliographical references pages [173]-184.
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
موضوع (اسم عام یاعبارت اسمی عام)
عنصر شناسه ای
Computer vision -- Mathematical models.
عنصر شناسه ای
Neural networks (Computer science).
اصطلاحهای موضوعی کنترل نشده
اصطلاح موضوعی
Neural networks, Computer vision, Mathematical models, Computer science.
نام شخص - (مسئولیت معنوی برابر )
کد نقش
Author
مستند نام اشخاص تاييد نشده
Khan, Salman,
مبدا اصلی
کشور
ایران
سازمان
Central Library of the Kurdistan University
وضعیت انتشار
فرمت انتشار
e
اطلاعات رکورد کتابشناسی
نوع ماده
BL
کد کاربرگه
280328
اطلاعات دسترسی رکورد
سطح دسترسي
a
تكميل شده
Y
