Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Josh Patterson

Josh Patterson
Director of Field Engineering, Skymind

Website

Josh Patterson is the director of field engineering for Skymind. Previously, Josh ran a big data consultancy, worked as a principal solutions architect at Cloudera, and was an engineer at the Tennessee Valley Authority, where he was responsible for bringing Hadoop into the smart grid during his involvement in the openPDC project. Josh is a cofounder of the DL4J open source deep learning project and is a coauthor on the upcoming O’Reilly title Deep Learning: A Practitioner’s Approach. Josh has over 15 years’ experience in software development and continues to contribute to projects such as DL4J, Canova, Apache Mahout, Metronome, IterativeReduce, openPDC, and JMotif. Josh holds a master’s degree in computer science from the University of Tennessee at Chattanooga, where he did research in mesh networks and social insect swarm algorithms.

Sessions

1:30pm5:00pm Tuesday, March 14, 2017
Data science & advanced analytics
Location: LL20 D Level: Intermediate
Secondary topics:  Deep learning
Dave Kale (Skymind), Susan Eraly (Skymind), Josh Patterson (Skymind)
Average rating: ***..
(3.33, 3 ratings)
Dave Kale, Susan Eraly, and Josh Patterson explain how to build, train, and deploy neural networks using Deeplearning4j. Topics include the fundamentals of deep learning, ND4J and DL4J, and scalable training using GPUs and Apache Spark. You'll gain hands-on experience with several models, including convolutional and recurrent neural nets. Read more.