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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

Arduino

At $15, the Arduino is a cost-effective solution. Arduino is supported by a large community and uses the Arduino language, a set of C/C++ functions. If you need to run ML models on an Arduino device, it is possible to package ML models built on popular frameworks such as PyTorch into the Embedded Learning Library (ELL). The ELL allows ML models to be deployed on the device without needing the overhead of a large operating system. Porting ML models using ELL or TensorFlow Lite can be challenging due to the limited memory and compute capacity of the Arduino:

Price Typical Models Use Cases
$15 Linear regression Sensor reading classification

 

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