June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Summary
Automatic audio/speech/voice recognition is becoming a popular means for people to interact with their devices, including smartphones, wearables, and other smart devices. Machine learning and DL algorithms are essential in audio/speech/voice-based decision making.
In the first part of this chapter, we briefly described different IoT applications and their audio/speech/voice detection-based decision making. We also briefly discussed two potential use cases of IoT where DL algorithms can be useful in speech/command-based decision making. The first use case considered an IoT application to make a home smart using voice-controlled lighting. The second use case also made a home or office smart, where a DL-based IoT solution offered automated ...
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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.