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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260706T013124Z
UID:1cc11294-defe-4106-b6eb-b0e43e654466
DTSTART:20201217T070000Z
DTEND:20201218T140000Z
DESCRIPTION:This course will be delivered as an ONLINE EVENT for remote par
 ticipation due to the COVID-19 measures enforced by most European governme
 nts.\n\nTHE COURSE IS FULLY BOOKED! If you have registered to this course 
 and you are not able to attend\, please cancel your registration in advanc
 e. We have processed a LIMITED WAITING LIST. Please send your requests on 
 cancellation/wait list to patc@csc.fi. We will keep those on the waiting l
 ist informed of whether participation will be possible. Please note that t
 he wait list is at a first come\, first served basis.\n\nDescription\n\nTh
 is course gives a practical introduction to deep learning\, convolutional 
 and recurrent neural networks\, GPU computing\, and tools to train and app
 ly deep neural networks for natural language processing\, images\, and oth
 er applications.\n\nThe course consists of lectures and hands-on exercises
 . TensorFlow 2\, Keras\, and PyTorch  will be used in the exercise sessio
 ns. CSC's Notebooks environment will be used on the first day of the cours
 e\, and the GPU-accelerated Puhti supercomputer on the second day.\n\nLear
 ning outcome\n\nAfter the course the participants should have the skills a
 nd knowledge needed to begin applying deep learning for different tasks an
 d utilizing the GPU resources available at CSC for training and deploying 
 their own neural networks.\n\nPrerequisites\n\nThe participants are assume
 d to have working knowledge of Python and suitable background in data anal
 ysis\, machine learning\, or a related field. Previous experience in deep 
 learning is not required\, but the fundamentals of machine learning are no
 t covered on this course.  Basic knowledge of a Linux/Unix environment wi
 ll be assumed.\n\nAgenda (tentative)\n\nDay 1\, Thursday 17.12\n\n\n	\n	 
   09.00 – 11.00 Introduction to deep learning and to Notebooks\n	\n	\n	
    11.00 – 12.00 Multi-layer perceptrons\n	\n\n\n          
      12:00 - 13:00  Lunch\n\n\n	\n	   13.00 – 14.30 Image data an
 d convolutional neural networks\n	\n	\n	   14.30 – 16.00 Text data and
  recurrent neural networks\n	\n\n\nDay 2\, Friday 18.12\n\n\n	\n	   09.0
 0 – 10.30 Deep learning frameworks\, GPUs\, batch jobs\n	\n	\n	   10.3
 0 – 12.00 Image classification exercises\n	\n\n\n           
     12:00 - 13:00  Lunch\n\n\n	\n	   13.00 – 14.30 Attention and t
 ext categorization exercises\n	\n	\n	   14.30 – 16.00 Cloud\, using mu
 ltiple GPUs\n	\n\n\nLecturers:  \n\nMarkus Koskela (CSC)\,  Mats Sjöber
 g (CSC)\n\nLanguage:  English\nPrice:           Free of charge 
 (2 training days)\n\nREGISTRATION is OBLIGATORY since the details to acces
 s the online course will be provided to the registered and accepted attend
 ees only. If you have registered to this course and you are not able to at
 tend\, please CANCEL your registration in advance by sending an email to p
 atc@csc.fi\nhttps://events.prace-ri.eu/event/1087/
SUMMARY:[ONLINE] Practical Deep Learning @ CSC
URL;VALUE=URI:https://events.prace-ri.eu/event/1087/
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