June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Image Recognition in IoT
Many IoT applications, including smart homes, smart cities, and smart healthcare, will extensively use image recognition-based decision-making (such as facial recognition for a smart door or lock) in the future. Machine learning (ML) and deep learning (DL) algorithms are useful for image recognition and decision-making. Consequently, they are very promising for IoT applications. This chapter will cover hands-on DL-based image data processing for IoT applications.
The first part of this chapter will briefly describe different IoT applications and their image detection-based decision-making. Furthermore, it will briefly discuss an IoT application and its image detection-based implementation in a real-world scenario. ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.