Deep Learning with DeepLearning4J (DL4J)



Parking is free in Lot 10 and Lot 9 Princeton University after 5pm. There is also meter parking on Nassau street but you have to feed the meter quarters. There are multiple pay parking garages nearby.

Deep Learning with DeepLearning4J (DL4J)

with Ari Kamlani

Ari Kamlani is a Data Scientist and Technology Strategist & Advisor, currently employed as a Deep Learning Consultant with Skymind and Technologist in Residence (TIR) with Techstars IoT. Previously a Data Scientist & Engineering Consultant at Otto (Tyto) for the Connected Home and Research Assistant at Inria Research Institute per Spatio-Temporal patterns in Computer Vision. Furthermore, he had a long career in the Embedded and Wireless Technology domain for a variety of Innovation Teams and Technology Companies.

Meetup Technical Session:

DeepLearning4J (Deep Learning for Java - DL4J, inception 2013) was specifically designed with Enterprise and Production in mind, as a first-class citizen to the JVM. Skymind develops and maintains the complete DL4J stack and the abstraction for Scala (ScalNet) with a focal point on scalability and vendor integrations.

This session will be a variant of the tutorial held earlier this year at the Cognitive Frameworks Festival (CFF) in SF. It will also be a precursor to our upcoming training session Deep Learning Paths to Production with Keras and DL4J, to be held on Oct 30th/31rst in NYC.

The intended audience would ideally have some prior knowledge and exposure to other Machine Learning (ML) and/or Deep Learning (DL) Frameworks, particularly those with Python language bindings, and would like to understand the usage and migration to DL4J in the Enterprise.

Part of Jersey Tech Week (