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Artificial Intelligence for IoT Cookbook

You're reading from  Artificial Intelligence for IoT Cookbook

Product type Book
Published in Mar 2021
Publisher Packt
ISBN-13 9781838981983
Pages 260 pages
Edition 1st Edition
Languages
Author (1):
Michael Roshak Michael Roshak
Profile icon Michael Roshak

Table of Contents (11) Chapters

Preface 1. Setting Up the IoT and AI Environment 2. Handling Data 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

Using keras for fall detection

One strategy for predictive maintenance is to look at patterns of device failures for a given record. In this recipe, we will classify the data that exhibits a pattern that happens before the device fails.

We will be using keras, which is a fairly powerful machine learning library. Keras strips away some of the complexity of TensorFlow and PyTorch. Keras is a great framework for beginners in machine learning as it is easy to get started on and the concepts learned in Keras transfer to more expressive machine learning libraries such as TensorFlow and PyTorch.

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