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DTSTAMP:20260716T005839Z
UID:565a51fc-3454-47b1-a584-b7f3f707af35
DTSTART:20201211T084500Z
DTEND:20201211T150000Z
DESCRIPTION:Annotation\n\nThe computational requirements of deep neural net
 works used to enable AI applications like self-driving cars are enormous. 
 A single training cycle can take weeks on a single GPU or even years for l
 arger datasets like those used in self-driving car research. Using multipl
 e GPUs for deep learning can significantly shorten the time required to tr
 ain lots of data\, making solving complex problems with deep learning feas
 ible.\n\nWe will teach you how to use multiple GPUs to train neural networ
 ks. You'll learn:\n\n\n	\n	Approaches to multi-GPUs training\n	\n	\n	Algor
 ithmic and engineering challenges to large-scale training\n	\n	\n	Key tech
 niques used to overcome the challenges mentioned above\n	\n\n\nThis course
  is only offered to academia (see details below in section Capacity and Fe
 es).\n\nLevel\n\nbeginner\n\nLanguage\n\nEnglish\n\nPurpose of the course
  (benefits for the attendees)\n\nUpon completion\, you'll be able to effe
 ctively parallelize training of deep neural networks using TensorFlow. Upo
 n completion\, you’ll be able to solve deep learning problems that requi
 re multiple types of data inputs.\n\nAbout the tutor(s)\n\nGeorg Zitzlsber
 ger is a research specialist for Machine and Deep Learning. He received hi
 s certification from Nvidia as a University Ambassador of the Nvidia Deep 
 Learning Institute (DLI) program. This certification allows him to offer N
 vidia DLI courses to academic users of IT4Innovations' HPC services.\n\nNV
 IDIA Deep Learning Institute\n\nThe NVIDIA Deep Learning Institute deliver
 s hands-on training for developers\, data scientists\, and engineers. The 
 program is designed to help you get started with training\, optimizing\, a
 nd deploying neural networks to solve real-world problems across diverse i
 ndustries such as self-driving cars\, healthcare\, online services\, and r
 obotics.\n\nAcknowledgements\n\nThis course  is sponsored by NVIDIA as pa
 rt of the NVIDIA Deep Learning Institute (DLI) University Ambassador progr
 am.\n\nThis event was partially supported by The Ministry of Education\, Y
 outh and Sports from the Large Infrastructures for Research\, Experimental
  Development and Innovations project "e-Infrastruktura CZ – LM2018140“
  and partially by the PRACE-6IP project - the European Union’s Horizon 2
 020 research and innovation programme under grant agreement No. 823767.\n\
 n\nhttps://events.prace-ri.eu/event/1092/
SUMMARY:[ONLINE] Fundamentals of Deep Learning for Multi-GPUs @ IT4Innovati
 ons
URL;VALUE=URI:https://events.prace-ri.eu/event/1092/
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