Description: Computer Vision Projects With Pytorch : Design and Develop Production-grade Models, Paperback by Kulkarni, Akshay; Shivananda, Adarsha; Sharma, Nitin Ranjan, ISBN 1484282728, ISBN-13 9781484282724, Like New Used, Free shipping in the US 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. Th 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 th. After that, it takes you through the implementation of image classification problems, object detection techniques, and transfer learning while training and running inference. Th covers image segmentation and an anomaly detection model. And it discusses the fundamentals of video processing for computer vision tasks putting images into videos. Th 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 problems Who This Book Is For Data scientists and machine learning engineers interested in building computer vision projects and solving business problems
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End Time: 2024-11-03T16:27:05.000Z
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Book Title: Computer Vision Projects With Pytorch : Design and Develop Produc
Number of Pages: Xvi, 346 Pages
Language: English
Publication Name: Computer Vision Projects with Pytorch : Design and Develop Production-Grade Models
Publisher: Apress L. P.
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Programming Languages / Python
Publication Year: 2022
Type: Textbook
Item Weight: 19.6 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Author: Nitin Ranjan Sharma, Akshay Kulkarni, Adarsha Shivananda
Item Width: 6.1 in
Format: Trade Paperback
