BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260708T082048Z
UID:31ca9a49-56aa-4df6-943e-64a1e997f032
DTSTART:20201210T084500Z
DTEND:20201210T150000Z
DESCRIPTION:Annotation\n\nThis day explores how convolutional and recurrent
  neural networks can be combined to generate effective descriptions of con
 tent within images and video clips. Learn how to train a network using Ten
 sorFlow and the Microsoft Common Objects in Context (COCO) dataset to gene
 rate captions from images and video by:\n\n\n	\n	Implementing deep learnin
 g workflows like image segmentation and text generation\n	\n	\n	Comparing 
 and contrasting data types\, workflows\, and frameworks\n	\n	\n	Combining 
 computer vision and natural language processing \n	\n\n\nThis course is on
 ly offered to academia (see details below in section Capacity and Fees).\n
 \nLevel\n\nbeginner\n\nLanguage\n\nEnglish\n\nPurpose of the course (bene
 fits for the attendees)\n\nUpon completion\, you’ll be able to solve dee
 p learning problems that require multiple types of data inputs.\n\nAbout t
 he tutor(s)\n\nGeorg Zitzlsberger is a research specialist for Machine and
  Deep Learning. He received his certification from Nvidia as a University 
 Ambassador of the Nvidia Deep Learning Institute (DLI) program. This certi
 fication allows him to offer Nvidia DLI courses to academic users of IT4In
 novations' HPC services.\n\nNVIDIA Deep Learning Institute\n\nThe NVIDIA D
 eep Learning Institute delivers hands-on training for developers\, data sc
 ientists\, and engineers. The program is designed to help you get started 
 with training\, optimizing\, and deploying neural networks to solve real-w
 orld problems across diverse industries such as self-driving cars\, health
 care\, online services\, and robotics.\n\nAcknowledgements\n\nThis course
   is sponsored by NVIDIA as part of the NVIDIA Deep Learning Institute (D
 LI) University Ambassador program.\n\nThis event was partially supported b
 y The Ministry of Education\, Youth and Sports from the Large Infrastructu
 res for Research\, Experimental Development and Innovations project "e-Inf
 rastruktura CZ – LM2018140“ and partially by the PRACE-6IP project - t
 he European Union’s Horizon 2020 research and innovation programme under
  grant agreement No. 823767.\n\n\nhttps://events.prace-ri.eu/event/1089/
SUMMARY:[ONLINE] Fundamentals of Deep Learning for Multiple Data Types @ IT
 4Innovations
URL;VALUE=URI:https://events.prace-ri.eu/event/1089/
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