June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Techniques for indoor localization
Several indoor localization technologies have been proposed to date based on measuring techniques such as ultrasound, infrared, image, light, magnetic field, and wireless signals. For example, Bluetooth low energy (BLE)-based indoor localization has been attracting increasing interest because it is low-cost, low-power consumption, and has ubiquitous availability on almost every mobile device. On the other hand, the Wi-Fi localization system is based on the Channel State Information (CSI) of Wi-Fi signals.
Lately, DL approaches have been proposed in which DL models are used to learn the fingerprint patterns of high-dimensional CSI signals. Although, each Wi-Fi scan contains the signal strength measurements ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.