Deeplearning4j - an open source distributed framework for deep learning

Deeplearning4j (DL4J) [82] is an open source deep learning framework which is written for JVM, and mainly used for commercial grade. The framework is written entirely in Java, and thus, the name '4j' is included. Because of its use with Java, Deeplearning4j has started to earn popularity with a much wider audience and range of practitioners.

This framework is basically composed of a distributed deep learning library that is integrated with Hadoop and Spark. With the help of Hadoop and Spark, we can very easily distribute the model and Big datasets, and run multiple GPUs and CPUs to perform parallel operations. Deeplearning4j has primarily shown substantial success in performing pattern recognition in images, sound, text, time series data, and so on. Apart from that, it can also be applied for various customer use cases such as facial recognition, fraud detection, business analytics, recommendation engines...