January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Implementing an LSTM model for HAR
The overall algorithm (HumanAR.scala) has the following workflow:
- Loading the data
- Defining hyperparameters
- Setting up the LSTM model using imperative programming and the hyperparameters
- Applying batch wise training, that is, picking batch size data, feeding it to the model, then at some iterations evaluating the model and printing the batch loss and the accuracy
- Output the chart for the training and test errors
The preceding steps can be followed and constructed by way of a pipeline:
Figure 10: MXNet pre-built binary generated
Now let's start the implementation step-by-step. Make sure that you understand ...
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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.