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Convolutional Neural Networks in Visual Computing. A Concise Guide.

By: Contributor(s): Language: English Publication details: London Taylor & Francis, CRC Press 2017Description: xviii, 168 pages; FiguresISBN:
  • 9781138747951
Subject(s): DDC classification:
  • 006.3 V461
Contents:
-Dedication -Acknowledgements -About the Author -Preface -Chapter 1: Introduction to visual computing -Chapter 2: Learning as a regression problem -Chapter 3: Artificial neural networks -Chapter 4: Convolutional neural networks -Chapter 5: Modern and novel usages of CNNs -Appendix -Postscript
Summary: 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.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Libros Libros CIBESPAM-MFL 006.3 / V461 (Browse shelf(Opens below)) Ej: 1 Available 006069
Libros Libros CIBESPAM-MFL 006.3 / V461 (Browse shelf(Opens below)) Ej: 2 Available 006070

-Dedication
-Acknowledgements
-About the Author
-Preface
-Chapter 1: Introduction to visual computing
-Chapter 2: Learning as a regression problem
-Chapter 3: Artificial neural networks
-Chapter 4: Convolutional neural networks
-Chapter 5: Modern and novel usages of CNNs
-Appendix
-Postscript

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.

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