June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Summary
The healthcare industry is adopting ML and DL for various applications. IoT healthcare applications need to adopt ML and DL techniques for the true realization of healthcare IoT. In this chapter, we have tried to show how DL-based IoT solutions can be useful and how they can be implemented in healthcare applications. In the first part of this chapter, we presented an overview of the various applications of IoT in healthcare. Then, we briefly discussed two use cases where healthcare services can be improved and/or automated through DL-supported IoT solutions. In the second part of the chapter, we presented a hands-on experience of the DL-based healthcare incident and/or skin diseases, detection part of the two use cases.
The use of ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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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.