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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

Product type Paperback

Published in Mar 2021

Publisher Packt

ISBN-13 9781838981983

Length 260 pages

Edition 1st Edition

Languages

Python

Tools

Raspberry Pi

Concepts

Artificial Intelligence

Author (1):

Michael Roshak

View More author details

Table of Contents (11) Chapters

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

Detecting objects using GPUs on NVIDIA Jetson Nano

NVIDIA makes a series of GPU-enabled SBCs. Some of these, such as the TX2, are used on drones because they are lightweight and can pack a lot of power under their GPU-enabled systems. GPUs, along with Tensor Processing Units (TPUs), are able to deliver multiple times the computer vision capabilities compared with standard CPUs. In this recipe, we will use NVIDIA Jetson Nano, which is their least expensive development board at $99. The Jetson has an ecosystem of libraries that only work on their products.

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Authors (1)

Roshak

Roshak

Michael Roshak is a cloud architect and strategist with extensive subject matter expertise in enterprise cloud transformation programs and infrastructure modernization through designing, and deploying cloud-oriented solutions and architectures. He is responsible for providing strategic advisory for cloud adoption, consultative technical sales, and driving broad cloud services consumption with highly strategic accounts across multiple industries.

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