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Deep Learning for Vision Systems 1st Edition

Deep Learning for Vision Systems 1st Edition

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Publisher: Manning
Author: Mohamed Elgendy
Format: Paperback
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Categories: Computer science

About Book

Deep Learning for Vision Systems by Mohamed Elgendy introduces the concepts and techniques behind applying deep learning to computer vision. It explores how neural networks can be used for image classification, object detection, and other visual recognition tasks, helping readers understand practical applications of modern vision systems.

About Author

Mohamed Elgendy is an author and technology professional known for explaining deep learning and computer vision concepts. His book helps readers explore the principles and practical techniques used to build AI-powered vision applications.

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Deep Learning for Vision Systems, 1st Edition by Mohamed Elgendy is a practical guide to understanding deep learning and its applications in computer vision. Published by Manning, this book explores neural networks, image classification, object detection, and other essential computer vision techniques.

It combines theoretical concepts with practical examples to help readers understand how deep learning models process and interpret visual data. Ideal for students, developers, and machine learning enthusiasts, this book provides a valuable introduction to building intelligent vision systems.

Product Details

  • Publisher: Manning
  • Condition: New
  • ISBN: 978-1617296192
  • Author: Mohamed Elgendy
  • Format: Paperback

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