MachineLearningforOpenCV无水印原版pdf资源-CSDN文库

5星 · 超过95%的资源需积分: 10 114 浏览量 2018-04-12 17:24:06 上传评论 4 收藏 25.45MB PDF 举报

资源推荐

资源详情

资源评论

Machine Learning for OpenCV

Machine learning is no longer just a buzzword,

it is all around us: from protecting your email,

to automatically tagging friends in pictures,

to predicting what movies you like. Computer

vision is one of today’s most exciting application

ﬁ elds of machine learning, with deep learning

driving innovative systems such as self-driving

cars and Google’s DeepMind.

OpenCV lies at the intersection of these

topics, providing a comprehensive open-

source library for classic and state-of-the-

art computer vision and machine learning

algorithms. In combination with Python

Anaconda, you will have access to all the

open-source computing libraries you could

possibly ask for.

Machine Learning for OpenCV

begins by

introducing you to the essential concepts of

statistical learning, such as classiﬁ cation and

regression. Once all the basics are covered,

you will start exploring algorithms such as

decision trees, support vector machines, and

Bayesian networks, and learn how to combine

them with other OpenCV functionality. As the

book progresses, so will your machine learning

skills, until you are ready to take on today’s

hottest topic in the ﬁ eld: deep learning.

By the end of this book, you will be ready to

take on your own machine learning problems,

either by building on the existing source

code or by developing your own algorithm

from scratch!

Things you will learn:

• Explore and make effective use of

OpenCV’s machine learning module

• Learn deep learning for computer

vision with Python

• Master linear regression and

regularization techniques

• Classify objects such as ﬂ ower

species, handwritten digits, and

pedestrians

• Explore the effective use of support

vector machines, boosted decision

trees, and random forests

• Get acquainted with neural networks

and deep learning to address

real-world problems

• Discover hidden structures in your

data using k-means clustering

• Get to grips with data pre-processing

and feature engineering

www.packtpub.com

$ 49.99 US

£ 41.99 UK

Prices do not include local sales

Tax or VAT where applicable

Machine Learning for OpenCV

Michael Beyeler

A practical introduction to the world of machine learning

and image processing using OpenCV and Python

Machine Learning

for OpenCV

Foreword by:

Ariel Rokem

Data Scientist, The University of Washington eScience Institute

Michael Beyeler

剩余368页未读，继续阅读

内容反馈

ronaldpan

2018-05-03

很好，369页。
qq_14944171

2019-02-10

谢谢分享，谢谢啦
mj412828668

2018-05-27

内容还不错，正在学习中。
Belial_2010

2018-09-10

学习中，尽快应用上
cacifer丶

2019-11-20

确实是原版

yinkaisheng-nj

粉丝: 763
资源: 6231

最新资源

资源上传下载、课程学习等过程中有任何疑问或建议，欢迎提出宝贵意见哦~我们会及时处理！点击此处反馈

feedback-tip