TY  - MANSCPT
AU  - Venkatesan, Ragav
AU  - Li, Baoxin
TI  - Convolutional Neural Networks in Visual Computing: A Concise Guide
SN  - 9781138747951
U1  - 006.3 
PY  - 2017///
CY  - London
PB  - Taylor & Francis, CRC Press
KW  - Computer vision
KW  - Neural networks
KW  - Computer sicence
N1  - -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
N2  - 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
ER  -