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Semi-Supervised Deep Learning on Large Scale Climate Models
Recorded at:

| by Prabhat Follow 0 Followers on Sep 27, 2017 | NOTICE: The next QCon is in London, Mar 4 - 6, 2019. Join us!
51:32

Summary
Prabhat presents NERSc’s results in applying Deep Learning for supervised and semi-supervised learning of extreme weather patterns. He briefly highlights their efforts in scaling Deep Learning to 9000 KNL nodes on a supercomputer.

Bio

Prabhat leads the Data and Analytics Services team at NERSC. His current research interests applied statistics, machine learning, and high performance computing. He has worked on topics in scientific data management, parallel I/O, scientific visualization, computer graphics and computer vision in the past.

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