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DTSTAMP:20260703T100234Z
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DTSTART:20220425T070000Z
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DESCRIPTION:Overview\n\nSupervised training of large networks requires larg
 e labeled datasets\, which in turn demand high computational costs. While 
 active practitioners in deep learning primarily develop and train their ne
 tworks on local computing devices\, with the increase of networks complexi
 ty\, there is an urgent need to create\, train\, and test models on cluste
 rs.\n\nIn this workshop\, we overview the basics of Docker and Singularity
 . (Working knowledge of Singularity as given in the workshop (https://www.
 uppmax.uu.se/support/courses-and-workshops/singularity-workshop-announceme
 nt) is desirable.) Distributed training using TensorFlow and Horovod frame
 works on a supercomputer will be covered. Moreover\, it will be shown how 
 to use Singularity containers in conjunction with TensorFlow and Horovod t
 o upscale an AI app.\n\nThe workshop will be entirely online using zoom.\n
 \nOutcomes\n\n\n	Create\, deploy\, and update containers locally on a supe
 rcomputer\n	Upscale the transfer learning of an NLP model in TensorFlow\n	
 Upscale the transfer learning of an NLP model using Horovod\n	Upscale the 
 transfer learning of a containerized NLP model\n\n\nPrerequisites\n\nBasic
  knowledge of UNIX OS and familiarity with NNs are required.\n\nFor questi
 ons regarding this event please contact us at training@enccs.se.\n\n\nThi
 s training is intended for users established in the European Union or a co
 untry associated with Horizon 2020. You can read more about the countrie
 s associated with Horizon2020 here https://ec.europa.eu/info/research-and
 -innovation/statistics/framework-programme-facts-and-figures/horizon-2020-
 country-profiles_en\nhttps://events.prace-ri.eu/event/1373/
SUMMARY:[ONLINE] Upscaling A.I. workflows @ENCCS
URL;VALUE=URI:https://events.prace-ri.eu/event/1373/
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