TF Dev Summit ‘19 | Exascale Deep Learning for Climate Analytics
From our partners:
Climate change will have fundamental socio-economic impact and it is imperative for us to understand it better. This talk will show how TensorFlow was utilized on the world’s fastest supercomputer in order to extract pixel level segmentation masks of extreme weather phenomena in climate simulation data, thereby enabling climate scientists to perform high-fidelity, fine grained geo-spatial analyses of the effects of climate change.
Speaker: Thorsten Kurth, Lawrence Berkeley National Library
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