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Beginning Machine Learning in the Browser: Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js - Softcover
- VerlagApress
- Erscheinungsdatum2021
- ISBN 10 1484268423
- ISBN 13 9781484268421
- EinbandTapa blanda
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten196
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Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js
Anbieter: moluna, Greven, Deutschland
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Zustand: New. Perform human gait analysis with TensorFlow.JS ML and Processing (P5) librariesBuild a solid foundation in machine learning with the ubiquitous JavaScript languageTrain and deploy ML models in the browser with TensorFlow.jsNagen. Bestandsnummer des Verkäufers 437482617
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Beginning Machine Learning in the Browser : Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js
Print-on-DemandAnbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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, 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 Learning developer.What You'll LearnWork with ML models, calculations, and information gatheringImplement TensorFlow.js libraries for ML modelsPerform Human Gait Analysis using ML techniques in the browserWho This Book Is ForComputer science students and research scholars, and novice programmers/web developers in the domain of Internet Technologies. Bestandsnummer des Verkäufers 9781484268421
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Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js (Paperback or Softback)
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Paperback or Softback. Zustand: New. Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js 0.63. Book. Bestandsnummer des Verkäufers BBS-9781484268421
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Beginning Machine Learning in the Browser: Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js
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Paperback / softback. Zustand: New. New copy - Usually dispatched within 2 working days. 184. Bestandsnummer des Verkäufers B9781484268421
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Beginning Machine Learning in the Browser : Quick-Start Guide to Gait Analysis With JavaScript and Tensorflow.js
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Beginning Machine Learning in the Browser
Print-on-DemandAnbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 Learning developer.What You'll LearnWork with ML models, calculations, and information gatheringImplement TensorFlow.js libraries for ML modelsPerform Human Gait Analysis using ML techniques in the browserWho This Book Is ForComputer science students and research scholars, and novice programmers/web developers in the domain of Internet Technologies 196 pp. Englisch. Bestandsnummer des Verkäufers 9781484268421
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Beginning Machine Learning in the Browser : Quick-Start Guide to Gait Analysis With JavaScript and Tensorflow.js
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Beginning Machine Learning in the Browser : Quick-Start Guide to Gait Analysis With JavaScript and Tensorflow.js
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Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 42808978
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Beginning Machine Learning in the Browser: Quick-start Guide to Gait Analysis With Javascript and Tensorflow.js
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Paperback. Zustand: Brand New. 182 pages. 9.00x6.00x0.50 inches. In Stock. Bestandsnummer des Verkäufers x-1484268423
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Beginning Machine Learning in the Browser : Quick-Start Guide to Gait Analysis With JavaScript and Tensorflow.js
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 42808978-n
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