Machine Learning for OpenCV: Intelligent image processing with Python
Book information
Description
Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About This BookLoad, store, edit, and visualize data using OpenCV and PythonGrasp the fundamental concepts of classification, regression, and clusteringUnderstand, perform, and experiment with machine learning techniques using this easy-to-follow guideEvaluate, compare, and choose the right algorithm for any taskWho 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 LearnExplore and make effective use of OpenCV's machine learning moduleLearn deep learning for computer vision with PythonMaster linear regression and regularization techniquesClassify objects such as flower species, handwritten digits, and pedestriansExplore the effective use of support vector machines, boosted decision trees, and random forestsGet acquainted with neural networks and Deep Learning to address real-world problemsDiscover hidden structures in your data using k-means clusteringGet to grips with data pre-processing and feature engineeringIn 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
Similar books
Social, Cultural, and Behavioral Modeling: 11th International Conference, SBP-BRiMS 2018, Washington, DC, USA, July 10-13, 2018, Proceedings
2018 · PDF
Next Generation Artificial Vision Systems: Reverse Engineering the Human Visual System
2008 · PDF
Innovative Mobile and Internet Services in Ubiquitous Computing: Proceedings of the 12th International Conference on Innovative Mobile and Internet ... in Intelligent Systems and Computing)
2018 · PDF
Machine Learners: Archaeology of a Data Practice
2017 · PDF
Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing
2019 · PDF
Google It: Total Information Awareness
2016 · PDF
Steganography Techniques for Digital Images
2018 · PDF