In my talk I will discuss and show examples of using Apache Hadoop, Apache Hive, Apache MXNet, Apache OpenNLP, Apache NiFi and Apache Spark for deep learning applications. This is the follow up to last years Apache Deep Learning 101 that was done at Dataworks Summit and ApacheCon.
As part of my talk I will walk through using Apache NXNet Pre-Built Models, MXNet's New Model Server with Apache NiFi, executing MXNet with Apache NiFi and running Apache MXNet on edge nodes utilizing Python and Apache MiniFi.
This talk is geared towards Data Engineers interested in the basics of Deep Learning with open source Apache tools in a Big Data environment. I will walk through source code examples available in github and run the code live on an Apache Hadoop / YARN / Apache Spark cluster.
This will be an introduction to executing Deep Learning Pipelines in an Apache Big Data environment.
My talk at Data Works Summit Sydney was listed in top 7 -> https://hortonworks.com/blog/7-sessions-dataworks-summit-sydney-see/
Also have speak at and run Future of Data Princeton and at Oracle Code NYC.