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 in the chapter, we are using LSTM for use case one, an autoencoder for the multilayer IDS dataset, and DNN for the overall IDS dataset. In the following subsections, we will present the DL model-training process for the two use cases.
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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.