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Artificial Intelligence for IoT Cookbook

You're reading from   Artificial Intelligence for IoT Cookbook Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838981983
Length 260 pages
Edition 1st Edition
Languages
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Author (1):
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Michael Roshak Michael Roshak
Author Profile Icon Michael Roshak
Michael Roshak
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Table of Contents (11) Chapters Close

Preface 1. Setting Up the IoT and AI Environment 2. Handling Data FREE CHAPTER 3. Machine Learning for IoT 4. Deep Learning for Predictive Maintenance 5. Anomaly Detection 6. Computer Vision 7. NLP and Bots for Self-Ordering Kiosks 8. Optimizing with Microcontrollers and Pipelines 9. Deploying to the Edge 10. About Packt

Offloading to the web with TensorFlow.js

One of the biggest drivers of failures in IoT is cost. Often, devices are sold at a low fixed price and then have a reoccurring cost for the device manufacturer. There are multiple ways of reducing reoccurring costs. One of these is to offload some of the machine learning compute to the device or application accessing the data. In this recipe, we are going to use TensorFlow.js to offload the expensive compute to the browser of the person looking at the web page.

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