International Summer School on 
 Deep Learning 2017 

 17th — 21th July 2017, Bilbao, Spain 
Full program (pdf)
Organized by
University of Deusto
Rovira i Virgili University
Registration Course Description


DeepLearn 2017 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neuroscience, computer vision, speech recognition, language processing, drug discovery, biomedical informatics, recommender systems, earning theory, robotics, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most deep learning subareas will be displayed, and main challenges identified through 4 keynote lectures, 28 six-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes.

Addressed to

In principle, graduate students, doctoral students and postdocs from around the world will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. DeepLearn 2017 is also appropriate for more senior people who want to keep themselves updated on recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.


In addition to keynotes, 3-4 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.


DeepLearn 2017 will take place in Bilbao, the largest city in the Basque Country, famous for its gastronomy and the seat of the Guggenheim Museum.

Because of the large participation, the event has been moved to a new larger venue:

Palacio Euskalduna

Address: Avda. Abandoibarra, 4, 48011 Bilbao, Spain -    See location

Professors and courses

Pierre Baldi University of California, Irvine intermediate/advanced
Deep Learning: Theory and Applications to the Natural Sciences

Mohammed Bennamoun University of Western Australia introductory/intermediate
Deep Learning for Computer Vision

George Cybenko Dartmouth College intermediate
Deep Learning of Behaviors

Michael Gschwind IBM T.J. Watson Research Center introductory/intermediate
Deploying Deep Learning Applications at the Enterprise Scale

Soo-Young Lee Korea Advanced Institute of Science and Technology intermediate/advanced
Emotion, Top-Down Attention, and Brain Internal States for Next-Generation Chatbots

Michael C. Mozer University of Colorado, Boulder introductory/intermediate
Incorporating Domain Bias into Neural Networks

Maximilian Riesenhuber Georgetown University introductory/intermediate
Deep Learning in the Brain

Ruslan Salakhutdinov Carnegie Mellon University intermediate/advanced
Foundations of Deep Learning and its Recent Advances

Alessandro Sperduti University of Padua intermediate/advanced
Deep Learning for Sequences

Jimeng Sun Georgia Institute of Technology introductory
Interpretable Deep Learning Models for Healthcare Applications

Julian Togelius New York University intermediate
(Deep) Learning for (Video) Games

Ying Nian Wu University of California, Los Angeles introductory/intermediate
Generative Modeling and Unsupervised Learning

Georgios N. Yannakakis University of Malta introductory/intermediate
Deep Learning for Games - But Not for Playing them

Richard Zemel University of Toronto introductory/intermediate]
Learning to Understand Images and Text

See all courses

Open Session

An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david.silva409 (at) by July 9, 2017.

Organizing committee

Pablo García Bringas (Co-Chair) University of Deusto, Spain

José Gaviria University of Deusto, Spain

Carlos Martín (Co-Chair) Rovira i Virgili University, Spain

Manuel Parra University of Granada, Spain

Iker Pastor University of Deusto, Spain

Borja Sanz (Co-Chair) University of Deusto, Spain

David Silva Rovira i Virgili University, Spain

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It has to be done at Registration website.
The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course.
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue will be complete. It is much recommended to register prior to the event.


A suggestion for accommodation is available on the website


Participants will be delivered a certificate of attendance indicating the number of hours of lectures.

Questions and further information

E-Mail: david.silva409 (at)