Deep Learning on Apache Spark with DeepLearning4j and H2O

This chapter will give you an introduction to Deep Learning and how you can use third-party machine learning libraries on top of Apache Spark in order to do so. Deep Learning is outperforming a variety of state-of-the-art machine learning algorithms, and it is a very active area of research, so there is more to come soon. Therefore, it is important to know how Deep Learning works and how it can be applied in a parallel data processing environment such as Apache Spark.

This chapter will cover the following topics in detail:

  • Introduction to the installation and usage of the H2O framework
  • Introduction to Deeplearning4j with an IoT anomaly detection example
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