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DESCRIPTION:\n\nAnnotation\n\nIn this course we provide an overview to end-
 to-end deep learning with the latest version of Tensorflow/Keras. It cov
 ers the basic concepts to define models with Keras  and data pipelines w
 ith Tensorflow’s „Dataset“\, and to visualize the results with Ten
 sorboard while training. If training on one node or GPU is not enough\, 
  we show how to scale up/out distributed training onto multiple compute 
 nodes  and GPUs with Horovod. Furthermore\, we provide an introduction 
 to scikit-learn\, with an overview of  different machine learning algori
 thms it provides and how to utilize it on GPUs  with H2O4GPU. The train
 ing courses consist of a hands-on exercises to be run directly on IT4I's 
 infrastructure.\n\nLevel\n\nbeginner\n\nLanguage\n\nEnglish\n\nPrerequisit
 es\n\nUnderstanding of fundamental programming concepts in Python such as
  functions\, loops\, dictionaries\, and arrays.\n\nAbout the tutor\n\nGeo
 rg Zitzlsberger is a research specialist for Machine and Deep Learning at
  IT4Innovations. He has for over three years been certified by NVIDIA as 
 a University Ambassador of the NVIDIA Deep Learning Institute (DLI) progra
 mme. This certification allows him to offer NVIDIA DLI courses to academic
  users of IT4Innovations' HPC services. In addition\, in collaboration wit
 h Bayncore\, he is a trainer for Intel HPC and AI workshops and conference
 s carried out across Europe. He has been contributing to these events\, wh
 ich are held for audiences from industry and academia\, for five years.\n
 \nAcknowledgements\n\n               \n\nThis event was partially 
 supported by The Ministry of Education\, Youth and Sports from the Large I
 nfrastructures for Research\, Experimental Development and Innovations pro
 ject "e-Infrastruktura CZ – LM2018140“ and partially by the PRACE-6IP 
 project - the European Union’s Horizon 2020 research and innovation prog
 ramme under grant agreement No. 823767.\n\n \n\n \nhttps://events.prace-
 ri.eu/event/1333/
SUMMARY:[ONLINE] Introduction to Machine and Deep Learning @ IT4Innovations
URL;VALUE=URI:https://events.prace-ri.eu/event/1333/
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