Exascale Deep Learning for Climate Analytics (TF Dev Summit ‘19)
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
See the revamped dev site → https://www.tensorflow.org/
Watch all TensorFlow Dev Summit '19 sessions → http://bit.ly/TFDS19Sessions
Subscribe to the TensorFlow YouTube channel → https://bit.ly/TensorFlow1
Music by Terra Monk → http://bit.ly/TerraMonkTFDS
Event Photo Album → http://bit.ly/TFSummit19
event: TensorFlow Dev Summit 2019; re_ty: Publish; product: TensorFlow - General; fullname: Thorsten Kurth;
Видео Exascale Deep Learning for Climate Analytics (TF Dev Summit ‘19) канала TensorFlow
Speaker: Thorsten Kurth, Lawrence Berkeley National Library
See the revamped dev site → https://www.tensorflow.org/
Watch all TensorFlow Dev Summit '19 sessions → http://bit.ly/TFDS19Sessions
Subscribe to the TensorFlow YouTube channel → https://bit.ly/TensorFlow1
Music by Terra Monk → http://bit.ly/TerraMonkTFDS
Event Photo Album → http://bit.ly/TFSummit19
event: TensorFlow Dev Summit 2019; re_ty: Publish; product: TensorFlow - General; fullname: Thorsten Kurth;
Видео Exascale Deep Learning for Climate Analytics (TF Dev Summit ‘19) канала TensorFlow
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