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DESCRIPTION:Overview\n\nActive practitioners in deep learning primarily dev
 elop and train their networks on local computing devices. Nonetheless\, th
 e accuracy of such networks is dependent on their depth and the amount of 
 training data. Moreover\, since local computing devices such as laptops or
  clusters provide limited computational capacity\, training a deep neural 
 network (NN) requires access to large clusters\, i.e.\, supercomputers.\n\
 nIn this workshop\, we will learn the basics of containers\, how to work w
 ith Docker and Singularity\, and how to run distributed training using the
  Horovod framework on a supercomputer.\n\nThe workshop will be entirely on
 line using zoom.\n\nOutcomes\n\n\n	You will be able to create\, deploy\, a
 nd update containers locally or on a cluster.\n	You will train\, and upsca
 le traditional Convolutional NN (CNN) in TensorFlow.\n	You will learn to u
 pscale CNN using Horovod.\n\n\nPrerequisites\n\nBasic knowledge of UNIX OS
  and familiarity with NNs are required.\n\nAgenda\n\nFor updated agenda pl
 ease visit  https://enccs.se/events/2022-02-upscaling-ai-with-containers
 \nhttps://events.prace-ri.eu/event/1292/
SUMMARY:[ONLINE] Upscaling A.I. with containers @ENCCS
URL;VALUE=URI:https://events.prace-ri.eu/event/1292/
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