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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

Manifold 2-C with NVIDIA TX2

The NVIDIA Jetson is one of the best choices for running complex ML models such as real-time video on the Edge. The NVIDIA Jetson comes with a built-in NVIDIA GPU. The Manifold version of the product is designed to fit onto a DJI drone and perform tasks such as image recognition or self-flying. The only downside to running NVIDIA Jetson is its use of the ARM64 architecture. ARM64 does not work well with TensorFlow, although other libraries such as PyTorch work fine on ARM64. The Manifold retails for $500, which makes it a high-price option, but this is often necessary when doing real-time ML on the Edge:

Price Typical Models Use Cases
$500 Re-enforcement learning, computer vision Self-flying drones, robotics

 

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