Convolutional Neural Networks in Visual Computing: A Concise Guide (Data-Enabled Engineering)

by Ragav Venkatesan and Baoxin Li

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Book cover for Convolutional Neural Networks in Visual Computing

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This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics.

  • ISBN10 1138747955
  • ISBN13 9781138747951
  • Publish Date 7 September 2017 (first published 1 September 2017)
  • Publish Status Active
  • Publish Country GB
  • Publisher Taylor & Francis Ltd
  • Imprint CRC Press
  • Format Paperback
  • Pages 168
  • Language English