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A Guide to Convolutiveal Neural Networks for Computer Vision par Salman Khan (Eng-
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Numéro de l'objet eBay :364690393362
Dernière mise à jour le 22 sept. 2024 06:51:43 Paris. Afficher toutes les modificationsAfficher toutes les modifications
Caractéristiques de l'objet
- État
- ISBN-13
- 9783031006937
- Book Title
- A Guide to Convolutional Neural Networks for Computer Vision
- ISBN
- 9783031006937
- Subject Area
- Computers
- Publication Name
- Guide to Convolutional Neural Networks for Computer Vision
- Publisher
- Springer International Publishing A&G
- Item Length
- 9.3 in
- Subject
- Image Processing, Computer Vision & Pattern Recognition
- Publication Year
- 2018
- Series
- Synthesis Lectures on Computer Vision Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Weight
- 14.1 Oz
- Item Width
- 7.5 in
- Number of Pages
- Xix, 187 Pages
À propos de ce produit
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3031006933
ISBN-13
9783031006937
eBay Product ID (ePID)
28057288525
Product Key Features
Number of Pages
Xix, 187 Pages
Publication Name
Guide to Convolutional Neural Networks for Computer Vision
Language
English
Publication Year
2018
Subject
Image Processing, Computer Vision & Pattern Recognition
Type
Textbook
Subject Area
Computers
Series
Synthesis Lectures on Computer Vision Ser.
Format
Trade Paperback
Dimensions
Item Weight
14.1 Oz
Item Length
9.3 in
Item Width
7.5 in
Additional Product Features
TitleLeading
A
Number of Volumes
1 vol.
Illustrated
Yes
Original Language
English
Table Of Content
Preface.- Acknowledgments.- Introduction.- Features and Classifiers.- Neural Networks Basics.- Convolutional Neural Network.- CNN Learning.- Examples of CNN Architectures.- Applications of CNNs in Computer Vision.- Deep Learning Tools and Libraries.- Conclusion.- Bibliography.- Authors' Biographies.
Synopsis
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., 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.
LC Classification Number
TA1501-1820
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- l***c (227)- Évaluations laissées par l'acheteur.Dernier moisAchat vérifiéBook came packaged well to avoid damage, in great condition. Not sure if the seller delayed shipping or if usps didn’t update the shipping, which is highly likely. Still received and we are happy with our purchase. I had trouble looking up tracking due to the company they used but seller found usps tracking and sent that over quickly. Sellers communication was excellent. Would buy from again. Item as described.
- t***n (2908)- Évaluations laissées par l'acheteur.Dernier moisAchat vérifiéI don't give negatives; However, description was not correct; No price guide was included in this book.As you will see in book pic shown; title states price guide included, no price guide inside. Communication poor, description, no communication price guide missing from this book. Shipping time was weeks before it was even shipped. Blamed the shipping on warehouse. You own & operate a business; your warehouse is not up to standards you change who you do business with. It's your responsibility.
- -***6 (133)- Évaluations laissées par l'acheteur.6 derniers moisAchat vérifiéItem arrived as described and adequately packaged. Ridiculously long shipping time. Seller posts incorrect tracking number and lists the item as shipped. Contacted seller for correct tracking, received a new tracking number with the warning that the number won’t be “live” until the item is shipped. Will you get your item? Yeah, probably. Count on it being delivered 2-3 weeks longer than expected.
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