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DTSTAMP:20260704T090920Z
UID:f92c5d03-6ea3-4ca3-971a-b3cb8c1d4ef0
DTSTART:20220222T080000Z
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DESCRIPTION:Overview\n\nThe use of Deep Learning has seen a sharp increase 
 of popularity and applicability over the last decade. While Deep Learning 
 can be a useful tool for researchers from a wide range of domains\, taking
  the first steps in the world of Deep Learning can be somewhat intimidatin
 g. This introduction aims to cover the basics of Deep Learning in a practi
 cal and hands-on manner\, so that upon completion\, you will be able to tr
 ain your first neural network and understand what next steps to take to im
 prove the model.\n\nWe start with explaining the basic concepts of neural 
 networks\, and then go through the different steps of a Deep Learning work
 flow. Learners will learn how to prepare data for deep learning\, how to i
 mplement a basic Deep Learning model in Python with Keras\, how to monitor
  and troubleshoot the training process and how to implement different laye
 r types such as convolutional layers.\n\nAfter attending the workshop\, yo
 u should be able to:\n\n\n	Prepare input data for use for deep learning\n	
 Design and train a Deep Neural Network\n	Troubleshoot the learning process
 \n	Measure the performance of the network\n	Visualise data and results\n	R
 e-use existing network architectures with and without pre-trained weights\
 n\n\nPrerequisites\n\nParticipants are expected to have basic Python progr
 amming skills and familiarity with the Pandas package. Basic knowledge of 
 statistics is also beneficial.\n\nPreliminary Agenda\n\nAgenda to be publi
 shed soon https://enccs.se/events/2022-02-introduction-to-deep-learning/\
 nhttps://events.prace-ri.eu/event/1295/
SUMMARY:[ONLINE] Introduction to deep-learning @ENCCS
URL;VALUE=URI:https://events.prace-ri.eu/event/1295/
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