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Machine Learning for OpenCV: Intelligent image processing with Python

Amazon.com Price:  $43.31 (as of 01/05/2019 13:40 PST- Details)

Description

Expand your OpenCV knowledge and master key concepts of machine learning the use of this practical, hands-on guide.

About This Book

  • Load, store, edit, and visualize data the use of OpenCV and Python
  • Grasp the fundamental concepts of classification, regression, and clustering
  • Understand, perform, and experiment with machine learning techniques the use of this easy-to-follow guide
  • Evaluate, compare, and choose the right algorithm for any task

Who This Book Is For

This book targets Python programmers who are already familiar with OpenCV; this book will give you the tools and understanding required to build your own machine learning systems, tailored to practical real-world tasks.

What 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 flower species, handwritten digits, and pedestrians
  • Explore the effective use of strengthen 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 the use of k-means clustering
  • Get to grips with data pre-processing and feature engineering

In Detail

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 fields 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 as well as cutting-edge computer vision and machine learning algorithms. In combination with Python Anaconda, you’re going to have access to all the open-source computing libraries you may be able to ask for.

Machine learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression. Once all the basics are covered, you’re going to start exploring quite a lot of algorithms such as decision trees, strengthen 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 most up to date topic in the field: Deep Learning.

By the end of this book, you’re going to be ready to take on your own machine learning problems, either by building on the existing source code or developing your own algorithm from scratch!

Style and approach

OpenCV machine learning connects the fundamental theoretical principles in the back of machine learning to their practical applications in a way that makes a speciality of asking and answering the right questions. This book walks you through the key elements of OpenCV and its powerful machine learning classes, whilst demonstrating how to get to grips with a range of models.

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