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Semi-Supervised Deep Learning on Large Scale Climate Models
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| by Prabhat Follow 0 Followers on Sep 27, 2017 |
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.

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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.

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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