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DTSTAMP:20260707T163757Z
UID:39ae19e9-90c4-4f50-b3e8-7886eb7c0bdd
DTSTART:20190213T070000Z
DTEND:20190214T140000Z
DESCRIPTION:Description\n\nThis course gives a practical introduction to de
 ep learning\, convolutional and recurrent neural networks\, GPU computing\
 , and tools to train and apply deep neural networks for natural language p
 rocessing\, images\, and other applications.\n\nThe course consists of lec
 tures and hands-on exercises. Keras (https://keras.io/) and PyTorch (https
 ://pytorch.org/) will be used in the exercise sessions. CSC's Notebooks (h
 ttps://notebooks.csc.fi/) environment will be used on the first day of the
  course\, and the Taito-GPU (https://research.csc.fi/taito-gpu) cluster on
  the second day.\n\nLearning outcome\n\nAfter the course the participants 
 should have the skills and knowledge needed to begin applying deep learnin
 g for different tasks and utilizing the GPU resources available at CSC for
  training and deploying their own neural networks.\n\nPrerequisites\n\nThe
  participants are assumed to have working knowledge of Python and suitable
  background in data analysis\, machine learning\, or a related field. Prev
 ious experience in deep learning is not required\, but the fundamentals of
  machine learning are not covered on this course.  Basic knowledge of a L
 inux/Unix environment will be assumed.\n\nAgenda (tentative)\n\nDay 1\, We
 dnesday 13.2\n\n\n	\n	   09.00 – 10.30 Lecture: Introduction to deep l
 earning\n	\n	\n	   10.30 – 11.00 Exercises: Introduction to Notebooks\
 , Keras fundamentals\n	\n	\n	   11.00 – 12.00 Lecture: Image data\, mu
 lti-layer percepton networks\, convolutional neural networks\n	\n	\n	   
 12.00 – 13.00 Lunch\n	\n	\n	   13.00 – 14.00 Exercises: Image classi
 fication with MLPs\, CNNs\n	\n	\n	   14.00 – 15.00 Lecture: Text data\
 , embeddings\, neural NLP\, recurrent neural networks\n	\n	\n	   15.00 
 – 16.00 Exercises: Text sentiment classification with CNNs\, RNNs\n	\n\n
 \nDay 2\, Thursday 14.2\n\n\n	\n	   09.00 – 10.00 Lecture: GPUs\, batc
 h jobs\, using Taito-GPU\n	\n	\n	   10.00 – 12.00 Exercises: Image cla
 ssification\n	\n	\n	   12.00 – 13.00 Lunch\n	\n	\n	   13.00 – 14.0
 0 Exercises: Text categorization and labelling\n	\n	\n	   14.00 – 15.0
 0 Lecture: Cloud\, GPU utilization\, multiple GPUs\n	\n	\n	   15.00 – 
 16.00 Exercises: Using multiple GPUs\n	\n\n\nCoffee will be served both fo
 r the morning and afternoon sessions\n\nLecturers:  \n\nMarkus Koskela (C
 SC)\,  Mats Sjöberg (CSC)\n\n \n\nLanguage:  English\nPrice:     
      Free of charge\nhttps://events.prace-ri.eu/event/831/
SUMMARY:Practical Deep Learning @ CSC
URL;VALUE=URI:https://events.prace-ri.eu/event/831/
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