文库 行业资料 AI

Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python_Jason Brownlee.pdf

AI PDF   563页   下载0   2026-01-26   浏览15   收藏0   点赞0   评分-   1005164字   免费文档
温馨提示:当前文档最多只能预览 5 页,若文档总页数超出了 5 页,请下载原文档以浏览全部内容。
Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python_Jason Brownlee.pdf 第1页
Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python_Jason Brownlee.pdf 第2页
Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python_Jason Brownlee.pdf 第3页
剩余558页未读, 下载浏览全部
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 mechanical, recording or by any information storage and retrieval system,without written permission 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