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Deep Learning for Life Sciences


9 mei 2019 van 9:00 am tot 5:00 pm


Deep learning has become a really hot topic for different areas of research in order to extract information and correlations between huge amounts of data that are otherwise very difficult or even effectively impossible to process in a purely analytic way. 

This workshop will begin with a morning session that will be presenting an overview of machine learning techniques, and later on introducing the basics concepts needed to understand artificial neural networks. The afternoon session will be eminently practical and applied to life sciences. You may be able to learn the basic use of tools for image processing and tune the results of your neural network to achieve your goals. The hands-on exercises will be performed using the Python programming language in a Jupyter notebook.

The workshop is co-organised by SURFsara and ELIXIR Netherlands.

Find more detailed description in the sylabus description below or on the workshop webpage.

General information


The course is aimed at graduate students and other researchers, particularly from life sciences, who would like to know how to use a supercomputer. No other experience is strictly necessary, but some affinity with general programming or scripting may be useful.


SURF Utrecht. Kantoren Hoog Overborch (Hoog Catharijne), Moreelsepark 48, room 3.5, 3511 EP Utrecht. Get directions with OpenStreetMap or Google Maps.


May 9, 2019. Add to your Google Calendar.

Sponsors & organizers

This workshop is sponsored and supported by ELIXIR-EXCELERATE. ELIXIR-EXCELERATE is funded by the European Commission within the Research Infrastructures programme of Horizon 2020, grant agreement number 676559.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.). Please follow the set-up as described on this webpage.

Contact: Please email or for more information.


9 mei 2019
9:00 am tot 5:00 pm
Evenement Categorie:


Moreelsepark 48
Utrecht, UT 3511 EP Netherlands
+ Google Maps
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