Beginning Machine Learning in the Browser

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Sprache: Englisch

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Beschreibung

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 MLimplementation issues. For example, yoüll learn about the classification of normal and abnormal Gait patterns.

With Beginning Machine Learning in the Browser, yoüll be on your way to becoming an experienced Machine Learning developer.

What Yoüll Learn
Work with ML models, calculations, and information gathering
Implement TensorFlow.js libraries for ML models
Perform Human Gait Analysis using ML techniques in the browser

Who This Book Is For

Computer science students and research scholars, and novice programmers/web developers in the domain of Internet Technologies

Über den Autor

Nagender Kumar Suryadevara received his Ph.D. from the School of Engineering and Advanced Technology, Massey University, New Zealand, in 2014. He has authored two books and over 45 publications in different international journals, conferences, and book chapters. His research interests lie in the domains of wireless sensor networks, Internet of Things technologies, and time-series data mining.

Zusammenfassung

Perform human gait analysis with TensorFlow.JS ML and Processing (P5) libraries

Build a solid foundation in machine learning with the ubiquitous JavaScript language

Train and deploy ML models in the browser with TensorFlow.js

Inhaltsverzeichnis

Chapter 1: Web Development.- Chapter 2: Browser- based Data Processing.- Chapter 3: Human Pose.- Chapter 4: Human Pose Classification.- Chapter 5: Gait Analysis.- Chapter 6: Future Possibilities for Running AI Methods in a Browser.

Details

Erscheinungsjahr:	2021
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	196
Inhalt:	xiv 182 S. 71 s/w Illustr. 182 p. 71 illus.
ISBN-13:	9781484268421
ISBN-10:	1484268423
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Suryadevara, Nagender Kumar
Auflage:	1st ed.
Hersteller:	Apress Apress L.P.
Maße:	235 x 155 x 11 mm
Von/Mit:	Nagender Kumar Suryadevara
Erscheinungsdatum:	02.04.2021
Gewicht:	0,306 kg

preigu-id: 119469278