Convolutional Neural Networks in Visual Computing: A Concise Guide

ISBN-13: 9781498770392 / Angielski / Twarda / 2017 / 168 str.

Ragav Venkatesan; Baoxin Li

Opis

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.

Spis treści

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