Specifications
book-author | V Kishore Ayyadevara ; Yeshwanth Reddy |
---|---|
file-type | |
isbn10 | 1839213477 |
isbn13 | 9781839213472 |
language | English |
publisher | Packt Publishing |
Book Description
“Modern Computer Vision with PyTorch, 1st Edition” is an essential resource for anyone interested in delving into the dynamic and rapidly evolving field of computer vision using PyTorch. Authored by V. Kishore Ayyadevara and Yeshwanth Reddy, this book offers a comprehensive and up-to-date guide to leveraging the power of PyTorch for image analysis, recognition, and understanding.
In this edition, the authors provide readers with a deep and hands-on exploration of computer vision concepts, supported by PyTorch, a popular and flexible deep learning framework. The book takes readers on a journey through the latest developments in computer vision, offering practical insights into image processing, object detection, image segmentation, and more.
Key features of this book include:
Cutting-Edge Techniques: Readers can expect to learn the most up-to-date techniques and strategies in computer vision. The book covers various aspects of image analysis and recognition, allowing both beginners and experienced practitioners to keep pace with the latest advancements in the field.
PyTorch Integration: PyTorch is a widely-used deep learning framework, and the authors demonstrate how to harness its capabilities to build and train computer vision models. The book provides practical examples and exercises that allow readers to gain hands-on experience with PyTorch.
Real-World Applications: “Modern Computer Vision with PyTorch” emphasizes the real-world applications of computer vision, ensuring that readers not only understand the theory but also can apply this knowledge to solve practical problems in fields like healthcare, automotive, robotics, and more.
Comprehensive Learning: Whether you are a novice or an experienced practitioner, the book is designed to cater to a wide range of readers. It introduces foundational concepts and progressively delves into more advanced topics, making it a valuable resource for learners at various stages of their computer vision journey.
In summary, “Modern Computer Vision with PyTorch, 1st Edition” is an indispensable guide for those looking to master computer vision with the aid of PyTorch. It offers a comprehensive overview of the field, equipping readers with the knowledge and skills needed to apply computer vision techniques to real-world problems. This book serves as an excellent resource for students, researchers, and professionals in the rapidly evolving domain of computer vision.
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