How Long to Read Machine Learning for OpenCV 4

How Long Does it Take to Read Machine Learning for OpenCV 4?

It takes the average reader 6 hours and 53 minutes to read Machine Learning for OpenCV 4 by Aditya Sharma

Assuming a reading speed of 250 words per minute. Learn more

Description

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 FeaturesGain insights into machine learning algorithms, and implement them using OpenCV 4 and scikit-learnGet up to speed with Intel OpenVINO and its integration with OpenCV 4Implement high-performance machine learning models with helpful tips and best practicesBook 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 algorithms, such as a decision tree, support vector machines (SVM), and Bayesian learning, and how they can be used for object detection computer vision operations. You will then delve into deep learning and ensemble learning, and discover their real-world applications, such as handwritten digit classification and gesture recognition. Finally, you’ll get to grips with the latest Intel OpenVINO for building an image processing system. By the end of this book, you will have developed the skills you need to use machine learning for building intelligent computer vision applications with OpenCV 4. What you will learnUnderstand the core machine learning concepts for image processingExplore the theory behind machine learning and deep learning algorithm designDiscover effective techniques to train your deep learning modelsEvaluate machine learning models to improve the performance of your modelsIntegrate algorithms such as support vector machines and Bayes classifier in your computer vision applicationsUse OpenVINO with OpenCV 4 to speed up model inferenceWho this book is for This book is for Computer Vision professionals, machine learning developers, or anyone who wants to learn machine learning algorithms and implement them using OpenCV 4. If you want to build real-world Computer Vision and image processing applications powered by machine learning, then this book is for you. Working knowledge of Python programming is required to get the most out of this book.

How long is Machine Learning for OpenCV 4?

Machine Learning for OpenCV 4 by Aditya Sharma is 405 pages long, and a total of 103,275 words.

This makes it 137% the length of the average book. It also has 126% more words than the average book.

How Long Does it Take to Read Machine Learning for OpenCV 4 Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 24 minutes to read Machine Learning for OpenCV 4 aloud.

What Reading Level is Machine Learning for OpenCV 4?

Machine Learning for OpenCV 4 is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Machine Learning for OpenCV 4?

Machine Learning for OpenCV 4 by Aditya Sharma is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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