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Hands-On Artificial Intelligence for IoT
book

Hands-On Artificial Intelligence for IoT

by Amita Kapoor, Hector Duran Lopez-Velarde
January 2019
Intermediate to advanced
390 pages
9h 16m
English
Packt Publishing
Content preview from Hands-On Artificial Intelligence for IoT

Deep Learning for IoT

In the last chapter, we learned about different machine learning (ML) algorithms. The focus of this chapter is neural networks based on multiple layered models, also known as deep learning models. They have become a buzzword in the last few years and an absolute favorite of investors in the field of artificial-intelligence-based startups. Achieving above human level accuracy in the task of object detection and defeating the world's Dan Nine Go master are some of the feats possible by deep learning (DL). In this chapter and a few subsequent chapters, we will learn about the different DL models and how to use DL on our IoT generated data. In this chapter, we will start with a glimpse into the journey of DL, and learn about ...

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Publisher Resources

ISBN: 9781788836067