Deep Learning for
Computer Vision
Image Classification, Object Detection
and Face Recognition in Python
Jason Brownlee
i
Disclaimer
The information contained within this eBook is strictly for educational purposes. If you wish to apply
ideas contained in this eBook, you are taking full responsibility for your actions.
The author has made every effort to ensure the accuracy of the information within this book was
correct at time of publication. The author does not assume and hereby disclaims any liability to any
party for any loss, damage, or disruption caused by errors or omissions, whether such errors or
omissions result from accident, negligence, or any other cause.
No part of this eBook may be reproduced or transmitted in any form or by anymeans, electronic or
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from the author.
Acknowledgements
Special thanks to my proofreader Sarah Martin and my technical editors Arun Koshy, Andrei
Cheremskoy, and Michael Sanderson.
Copyright
Deep Learning for Computer Vision
➞Copyright 2019 Jason Brownlee. All Rights Reserved.
Edition: v1.4
Contents
Copyright i
Contents ii
Preface iii
Introductions v
Welcome v
I Foundations 1
1 Introduction to Computer Vision 3
1.1 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.2 Desire for Computers to See. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.3 What Is Computer Vision. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.4 Challenge of Computer Vision. . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.5 Tasks in Computer Vision. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
1.6 Further Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
1.7 Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2 Promise of Deep Learning for Computer Vision 9
2.1 Overview. . . . . . . . . . . . . . . .
Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python_Jason Brownlee.pdf