Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js, (Paperback)
Item #: 180279775

Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js, (Paperback)

Item #: 180279775

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Shop Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js, (Paperback) online at a best price in Ecuador. 520224445
  • 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 browser Who This Book Is For Computer science students and research scholars, and novice programmers/web developers in the domain of Internet Technologies
Publication dateApril, 2021
AuthorNagender Kumar Suryadevara
Book formatPaperback
GenreComputing & Internet
Pages182
Age groupAdult
Series titleNo Series
Fiction/nonfictionNon-Fiction
PublisherApress
Educational levelCollege
SubgenreArtificial Intelligence
Original languagesEnglish
Edu focusTechnology
Recording time0 min
Is collectibleN
Bisac subject headingComputers
Edition1
LanguageEnglish
Pub date2021-04-02
Item Weight0.5 lbs (230 grams)

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Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js, (Paperback)

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