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.