Deep Learning with the JVM

Susan Eraly is a Software Engineer at Skymind.io. She primarily works on making deep learning frameworks more easily available on the JVM. The core focus of skymind.io is to bring the deep learning and AI to the business and enterprise community and in that endeavour skymind supports the popular open source repository DL4J. Lets hear a small conversation with Eraly where she speaks on the deep learning, the work she does on DL4J, how she works and co-ordinates using open source and the advice she gives to junior developers who are just coming to the field of software engineering.

Direct Download:

MP3 Audio | Atom feeds | PlayerFM | SoundCloud


— Show Notes: —



Skymind is the company behind Deeplearning4j, the only commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is specifically designed to run in business environments on distributed GPUs and CPUs.


Deeplearning4J is an Apache 2.0-licensed, open-source, distributed neural net library written in Java and Scala.


Gitter is an instant messaging and chat room system for developers and users of GitHub repositories. Join the gitter channel of DL4J and contribute to the library.


ND4J and ND4S are scientific computing libraries for the JVM. They are meant to be used in production environments, which means routines are designed to run fast with minimum RAM requirements.



While you are at it tweet us at:


Receive email updates when the next podcast goes live!