Computer Vision Projects with PyTorch

Design and Develop Production-Grade Models



Bookstore > Books > Computer Vision Projects with PyTorch

Price$49.99
Rating
AuthorsAkshay Kulkarni, Adarsha Shivananda, Nitin Ranjan Sharma
PublisherApress
Published2022
Pages346
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101484282728
ISBN-139781484282724
EBook Hardcover Paperback

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.


  1. (3 books)
  2. (3 books)


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