June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Model training
As we mentioned earlier, we are using LSTM and CNN, particularly 1D CNN, for use case one. For use case two, we are using MobileNet v1. All of these DL implementations support transfer learning that does not require training from scratch to use them in IoT devices.
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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.