Deep learning Hands-on computer session


The hands-on computer session is based on the Keras library (which is based on python and the theano frameworks). It is recommended to the participant to install the library before the session.

Workshop 2 : Location

The workshop will take place in Amphitheater Schwartz, building 1R3, Université Paul Sabatier (campus de Rangueil).

The map of the campus is available at:

Summer school review

How would you rate the interest of each course? (0=I wish I wasn't here, 5=it changed my life)

What are the 2 things you disliked most? 



All courses and hands-on sessions will take place in Amphitheater Einstein, building 3TP2, Université Paul Sabatier (campus de Rangueil).

The map of the campus is available at:

Course registration

Workshop 3: Registration

Workshop 3: List of Abstract

Hachem Kadri, Kernel Methods for Structured Outputs 
Kernel methods are a popular family of statistical learning methods that exploit training data through the implicit definition of a similarity between data points. This talk will start by explaining the principles of this class of learning algorithms and then discussing some of their advantages and disadvantages. It will then explain how these methods can be extended to handle structured outputs. The talk will concentrate on conceptual rather than technical issues.

Workshop 2: Speakers and Abstracts

back to schedule

All the videos of the lectures are available here!

You can download the PDF booklet that will be distributed at the workshop.

Workshop 2: Registration


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