Mastering Computer Vision with PyTorch and Machine Learning

Author: Caide Xiao Series: IOP ebooks

Hardcover

This book is a valuable resource for professionals, researchers, and students who want to expand their knowledge of advanced computer vision techniques using PyTorch.

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Summary

This book is a valuable resource for professionals, researchers, and students who want to expand their knowledge of advanced computer vision techniques using PyTorch.

Description

This book, together with the accompanying Python codes, provides a thorough and extensive guide for mastering advanced computer vision techniques for image processing by using the open-source machine learning framework PyTorch. Known for its user-friendly interface and Python programming style, PyTorch is accessible and one of the most popular tools among researchers and practitioners in the field of artificial intelligence.

Key Features:

Hands-on approach using the accompanying practical code examples
Codes for all projects listed in the book are in a same style with four parts: data input, data display, data process and data output
Emphasis on practical application development for computer vision
Includes latest computer vision technologies
Offers practical guidance on advanced computer vision techniques
Uses freely available and open-source resources like Kaggle and Google Colab

About the Author

Dr. Caide Xiao was born in China in and obtained his bachelor's degree in physics from Centre China Normal University in 1979 and was a lecturer of medical physics in Yunyang University. Following his PhD in optical biosensors from Tsinghua University he has subsequently been a research fellow and visiting scholar at the Biotechnology Research Institute in Montreal, Oakland University in Rochester, West Virginia University and the University of Calgary.