Computer Vision Projects with PyTorch : Design and Develop Production-Grade Models

Language: English

Published by Apress, 2022

1484282728 / 9781484282724

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nach der Bestellung gedruckt Neuware - Printed after ordering - Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techniques used in the industry. And then it gives you a quick overview of the PyTorch libraries used in the book. After that, it takes you through the implementation of image classification problems, object detection techniques, and transfer learning while training and running inference. The book covers image segmentation and an anomaly detection model. And it discusses the fundamentals of video processing for computer vision tasks putting images into videos. The book concludes with an explanation of the complete model building process for deep learning frameworks using optimized techniques with highlights on model AI explainability.After reading this book, you will be able to build your own computer vision projects using transfer learning and PyTorch.What You Will LearnSolve problems in computer vision with PyTorch.Implement transfer learning and perform image classification, object detection, image segmentation, and other computer vision applicationsDesign and develop production-grade computer vision projects for real-world industry problemsInterpret computer vision models and solve business problemsWho This Book Is ForData scientists and machine learning engineers interested in building computer vision projects and solving business problems.

Seller Inventory # 9781484282724

Title
Computer Vision Projects with PyTorch : Design and Develop Production-Grade Models
Author
Nitin Ranjan Sharma
Publisher
Apress
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1484282728
ISBN 13
9781484282724
Item weight
552 grams
Dimensions
235x155x20 mm

AHA-BUCH GmbH

Einbeck, Germany

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