January 2019
Intermediate to advanced
322 pages
7h 29m
English
Content preview from Hands-On Deep Learning with Apache Spark
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Summary
In this chapter, you have learned how training happens for CNNs and RNNs with DL4J, ND4J, and Apache Spark. You now also have insights into memory management, a number of tips to improve performance for the training process, and details of how to use Arbiter for hyperparameter optimization.
The next chapter will focus on how to monitor and debug CNNs and RNNs during their training phases.
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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.