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BEGINNING MACHINE LEARNING IN THE BROWSER : quick -start guide to gait analysis with javascript... and tensorflow.js by Nagender Kumar Suryadevara is a nonfiction available to read on EtoBox.

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Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental coding ideas. Using JavaScript programming features along with standard libraries, you'll first learn to design and develop interactive graphics applications. Then move further into neural systems and human pose estimation strategies. For training and deploying your ML models in the browser, TensorFlow.js libraries will be emphasized. After conquering the fundamentals, you'll dig into the wilderness of ML. Employ the ML and Processing (P5) libraries for Human Gait analysis. Building up Gait recognition with themes, you'll come to understand a variety of ML implementation issues. For example, you'll learn about the classification of normal and abnormal Gait patterns. With Beginning Machine Learning in the Browser , you'll be on your way to becoming an experienced Machine Learnin

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Author

Nagender Kumar Suryadevara

Publisher

Apress : Imprint: Apress

Published

2021

Language

EN

ISBN

9781484268438

Category

nonfiction

Subjects

Computer Science, Science, Mathematics