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Beginning Machine Learning in the Browser : Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js / Nagender Kumar Suryadevara.

By: Contributor(s): Material type: TextTextPublisher: New York : Apress, 2021Edition: first editionDescription: 182 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781484268421
Subject(s): DDC classification:
  • 23 006.3  s.n.b
Contents:
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.
Summary: A hands-on introduction to implementing machine learning in the browser using JavaScript and TensorFlow.js. Focuses on human gait analysis, from interactive graphics to pose classification and recognition of normal vs. abnormal patterns—ideal for students and web developers learning AI in resource-constrained environments.turn0search0turn0search8
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Holdings
Item type Current library Call number Vol info Status Date due Barcode Item holds
Books Books Media and mass communication Library B4 006.3 s.n.b Available MA0003296
Total holds: 0

Includes bibliographical references.

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.

A hands-on introduction to implementing machine learning in the browser using JavaScript and TensorFlow.js. Focuses on human gait analysis, from interactive graphics to pose classification and recognition of normal vs. abnormal patterns—ideal for students and web developers learning AI in resource-constrained environments.turn0search0turn0search8

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