Modern Computer Vision with PyTorch – Second Edition: A practical roadmap from d
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ata pre-processing to deep learning and deployment
In this post, we will explore the second edition of the book “Modern Computer Vision with PyTorch,” which provides a comprehensive and practical roadmap for building computer vision applications using PyTorch. From data pre-processing to deep learning and deployment, this book covers all the essential aspects of computer vision development with PyTorch.
The book starts by introducing the basic concepts of computer vision and PyTorch, and then moves on to more advanced topics such as image classification, object detection, and image segmentation. Throughout the book, readers will learn how to preprocess data, build and train deep learning models, and deploy their models in real-world applications.
One of the key highlights of this book is its hands-on approach, with practical examples and code snippets provided throughout. Readers will have the opportunity to follow along with the author as they work through various computer vision projects, gaining valuable insights and experience along the way.
Whether you are new to computer vision or looking to expand your knowledge and skills in this exciting field, “Modern Computer Vision with PyTorch – Second Edition” is a must-read. With its clear and concise explanations, practical examples, and comprehensive coverage of key topics, this book will help you master the art of computer vision with PyTorch and take your skills to the next level.
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