Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
Susan Eraly

Susan Eraly
Software Engineer, Skymind

@susan_eraly

Susan Eraly is a software engineer at Skymind, where she contributes to Deeplearning4j. Previously, Susan worked as a senior ASIC engineer at NVIDIA and as a data scientist in residence at Galvanize.

Sessions

9:00am - 5:00pm Monday, June 26 & Tuesday, June 27
Location: Gibson
Secondary topics:  Deep Learning, Health care, IoT and its applications
Josh Patterson (Skymind), Susan Eraly (Skymind), Tom Hanlon (Functional Media)
Recurrent neural networks have proven to be very effective at analyzing time series or sequential data, so how can you apply these benefits to your use case? Josh Patterson, Tom Hanlon, and Susan Eraly demonstrate how to use Deeplearning4j to build recurrent neural networks for time series data. Read more.