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Can I read Machine Learning for OpenCV 4 : Intelligent Algorithms for Building Image Processing Apps Using OpenCV 4, Python, and Scikit-learn, 2nd Edition on EtoBox?
Machine Learning for OpenCV 4 : Intelligent Algorithms for Building Image Processing Apps Using OpenCV 4, Python, and Scikit-learn, 2nd Edition by Beyeler, Michael;Sharma, Aditya;Vishwesh Ravi Shrimali is a nonfiction available to read on EtoBox.
What is Machine Learning for OpenCV 4 : Intelligent Algorithms for Building Image Processing Apps Using OpenCV 4, Python, and Scikit-learn, 2nd Edition about?
A practical guide to understanding the core machine learning and deep learning algorithms, and implementing them to create intelligent image processing systems using OpenCV 4 Key Features Gain insights into machine learning algorithms, and implement them using OpenCV 4 and scikit-learn Get up to speed with Intel OpenVINO and its integration with OpenCV 4 Implement high-performance machine learning models with helpful tips and best practices Book Description OpenCV is an opensource library for building computer vision apps. The latest release, OpenCV 4, offers a plethora of features and platform improvements that are covered comprehensively in this up-to-date second edition. You'll start by understanding the new features and setting up OpenCV 4 to build your computer vision applications. You will explore the fundamentals of machine learning and even learn to design different algorithms that can be used for image processing. Gradually, the book will take you through supervised and unsupervised machine learning. You will gain hands-on experience using scikit-learn in Python for a variety of machine learning applications. Later chapters will focus on different machine learning algorith
Who reads Machine Learning for OpenCV 4 : Intelligent Algorithms for Building Image Processing Apps Using OpenCV 4, Python, and Scikit-learn, 2nd Edition?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Beyeler, Michael;Sharma, Aditya;Vishwesh Ravi Shrimali
- Publisher
- Packt Publishing, Limited; Packt Publishing
- Published
- 2019
- Language
- EN
- ISBN
- 9781789800753
- Category
- nonfiction
- Subjects
- Language Learning, Computer Science, Science
- Rating
- 4.33 / 5 (188 ratings)
- Updated
- 2026-03-14
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