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

708 kr
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Sikker betaling
23 - 25 hverdage

Om denne bog
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 Learn
  • Solve problems in computer vision with PyTorch.
  • Implement transfer learning and perform image classification, object detection, image segmentation, and other computer vision applications
  • Design and develop production-grade computer vision projects for real-world industry problems
  • Interpret 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
Product detaljer
Sprog:
Engelsk
Sider:
346
ISBN-13:
9781484282724
Indbinding:
Paperback
Udgave:
ISBN-10:
1484282728
Kategori:
Udg. Dato:
19 jul 2022
Længde:
23mm
Bredde:
154mm
Højde:
234mm
Forlag:
APress
Oplagsdato:
19 jul 2022
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