Learn how to build and deploy a machine-learning data model in a Java-based production environment using Weka, Docker, and REST.

Amazon's Deep Java Library (DJL) is one of several implementations of the new JSR 381 standard for building machine learning applications in Java.

One of these implementations is based on Deep Java Library (DJL), an open source library developed by Amazon to build machine learning in Java.

You can get a good feel for the coverage by counting the samples: There are 54 Java and 60 Scala machine learning examples, 52 Python machine learning examples, and only five R examples.

Skymind, a company developing an open-source deep-learning library for Java, along with tools for implementation, today closed $3 million in ...