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DTSTAMP:20260707T224840Z
UID:7b0bee7f-2820-4c83-9f20-28caf5297760
DTSTART:20190320T080000Z
DTEND:20190321T160000Z
DESCRIPTION:This workshop gives a practical introduction to deep learning\,
  convolutional and recurrent neural networks\, GPU computing\, and tools 
 to train and apply deep neural networks for natural language processing\,
  images\, and other applications. It consists of lectures and hands-on exe
 rcises. Keras (https://keras.io/) and PyTorch (https://pytorch.org/) will
  be used in the exercise sessions. \n\nAfter the workshop the participant
 s should have the skills and knowledge needed to begin applying deep lear
 ning for different tasks and utilizing the GPU resources available at PDC 
 for training and deploying their own neural networks.\n\nThe participants
  are assumed to have working knowledge of Python and suitable background i
 n data analysis\, machine learning\, or a related field. Previous experie
 nce in deep learning is not required\, but the fundamentals of machine le
 arning are not covered on this course.\n\nAgenda\n\n\n	\n		\n			\n			  
   Time\n			\n			\n			Day 1 / March 20\, 2019    \n			\n		\n		\n			\n			
 09:00-10:30\n			\n			\n			Lecture: Introduction to deep learning\n			\n		\
 n		\n			\n			10:30-11:00\n			\n			Exercises: Introduction to Notebooks\, K
 eras fundamentals\n		\n		\n			\n			11:00-12:00\n			\n			\n			Lecture: Imag
 e data\, multi-layer percepton networks\, convolutional neural networks\n
 			\n		\n		\n			\n			12:00-13:00\n			\n			\n			Lunch\n			\n		\n		\n			\n		
 	13:00-14:00\n			\n			\n			Exercises: Image classification with MLPs\, CNN
 s\n			\n		\n		\n			\n			14:00-15:00\n			\n			Lecture: Text data\, embeddin
 gs\, neural NLP\, recurrent neural network\n		\n		\n			15:00 - 16:00\n			
 \n			Exercises: Text sentiment classification with CNNs\, RNNs\n			\n		\n	
 \n\n\n \n\n\n	\n		\n			\n			    Time\n			\n			\n			Day 2 / March 21\, 
 2019    \n			\n		\n		\n			\n			09:00-10:00\n			\n			Lecture: GPUs\, batc
 h jobs\, using PDC-GPU\n		\n		\n			\n			10:00-12:00\n			\n			Exercises: Im
 age classification\n		\n		\n			\n			12:00-13:00\n			\n			\n			Lunch\n			\n
 		\n		\n			\n			13:00-14:00\n			\n			\n			Exercises: Text categorization a
 nd labelling\n			\n		\n		\n			\n			14:00-15:00\n			\n			Lecture: Cloud\, G
 PU utilization\, multiple GPUs\n		\n		\n			15:00-16:00\n			\n			Exercises:
  Using multiple GPUs\n			\n		\n	\n\n\n \n\nPre-requisites:\n\n1. Own lapt
 op\;\n2. Valid account at PDC\, KTH. After getting an acceptance confirmat
 ion you have to apply for a PDC account on Beskow supercomputer. The instr
 uctions how to apply for the account will be sent by the confirmation e-ma
 il.\n\nLecturers: Markus Koskela &amp\; Mats Sjöberg (CSC-Finland)\n\nLa
 nguage: English\nPrice:          Free of charge\n \nhttps://even
 ts.prace-ri.eu/event/412/
SUMMARY:PRACE Deep Learning Workshop @ KTH/PDC
URL;VALUE=URI:https://events.prace-ri.eu/event/412/
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