In this chapter, we have learned about the details of the UI that DL4J provides for the monitoring and tuning purposes of a neural network at training time. We have also learned how to use the UI when training with DL4J and when Apache Spark is part of the game too. Finally, we understood what useful insights we could obtain from the charts that are presented in the DL4J UI pages to spot potential issues and some ways to remedy them.
The next chapter focuses on how to evaluate a neural network so that we can understand the accuracy of a model. Different evaluation techniques will be presented before we dive into practical examples of implementation through the DL4J API and the Spark API.
