Computer Vision Projects with PyTorch
eBook - ePub

Computer Vision Projects with PyTorch

Design and Develop Production-Grade Models

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Computer Vision Projects with PyTorch

Design and Develop Production-Grade Models

About this book

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

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Yes, you can access Computer Vision Projects with PyTorch by Akshay Kulkarni,Adarsha Shivananda,Nitin Ranjan Sharma in PDF and/or ePUB format, as well as other popular books in Mathematics & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. 1. The Building Blocks of Computer Vision
  4. 2. Image Classification
  5. 3. Building an Object Detection Model
  6. 4. Building an Image Segmentation Model
  7. 5. Image-Based Search and Recommendation System
  8. 6. Pose Estimation
  9. 7. Image Anomaly Detection
  10. 8. Image Super-Resolution
  11. 9. Video Analytics
  12. 10. Explainable AI for Computer Vision
  13. Back Matter