Beginning Machine Learning in the Browser
eBook - ePub

Beginning Machine Learning in the Browser

Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Beginning Machine Learning in the Browser

Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js

About this book

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 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

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Yes, you can access Beginning Machine Learning in the Browser by Nagender Kumar Suryadevara in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. 1. Web Development
  4. 2. Browser-Based Data Processing
  5. 3. Human Pose Estimation in the Browser
  6. 4. Human Pose Classification
  7. 5. Gait Analysis
  8. 6. Future Possibilities for Running AI Methods in a Browser
  9. Back Matter