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  • Format: ePub

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:
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Produktbeschreibung
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

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Autorenporträt
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.