Deep Learning with Spark in Deep Java Library in 10 minutes

Apache Spark is a widely used technology for data processing and is used heavily by machine learning users. Spark can be used to classify products, forecast demand, and personalize recommendations. While Spark supports a variety of programming languages, the preferred Spark SDK is implemented for Scala, which is not well supported by most deep learning frameworks. Most machine learning frameworks favor Python with their SDKs, leaving Spark developers with suboptimal options: porting their code to Python or implementing a custom Scala wrapper. These options impact developer velocity and threaten production environments with brittle code.