21-25 AUG UniCopenhagen

Deep Learning for Data Analytics

Copenhagen Summer University

Learn more about one of the hottest trends in machine learning in only one week!

Speakers



Christian Igel

Christian Igel

Professor

Christina Lioma

Christina Lioma

Associate Professor

Anders Søgaard

Anders Søgaard

Professor

Fabian Gieseke

Fabian Gieseke

Assistant Professor

Mad Nielsen

Mads Nielsen

Professor

Akshay Pai

Akshay Pai

Postdoc

Wouter Krogh Boomsma

Wouter Krogh Boomsma

Assistant Professor

Schedule



Materials

access our course material

Preparation
Python We will make use of Python and would kindly ask all participants who do not have any experience with programming in Python to have a quick look at this Python tutorial (or at similar ones).
SSH The practical sessions will be conducted on powerful remote compute nodes. In order to access these compute resources, we will make use of SSH. On Linux and Mac, a SSH client is usually pre-installed by default. For Windows, various tools exist (not pre-installed). One of them is WinSCP and it would make sense to install this client before the course starts.
Deep Learning We will resort to the Deep Learning book by Ian Goodfellow and Yoshua Bengio and Aaron Courville. The book is available online for free.


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Sponsors



Location

  • Frederiksberg Campus, Bülowsvej 17, DK-1870 Frederiksberg, Denmark
  • csu@adm.ku.dk
  • +45 3532 2870