deep learning summer school at university of montreal

Deep Learning Summer School 2016 | Montreal, Canada

April 11, 2016


Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many other tasks. Deep learning discovers intricate structure in large datasets by building distributed representations, either via supervised, unsupervised or reinforcement learning.

This summer schools is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research.

This year’s edition of the summer school is organized by Aaron Courville and Yoshua Bengio.

When: August 1st – 7th, 2016

Where: Montreal, Canada




The Deep Learning Summer School (2016 edition) with feature the following speakers (tentative list):
Doina Precup from McGill University
Joelle Pineaufrom McGill University

Hugo Larochelle from Twitter and Université de Sherbrooke

Rob Fergus  from New York University


Kyunghyun Cho  from New York University

Antonio Torralba from Massachusetts Institute of Technology
Edward Grefenstette  from Google DeepMind

Ruslan Salakhutdinov  from University of Toronto / Carnegie Mellon University



Jeff Dean from Google



Oriol Vinyals  from Google




Surya Ganguli  from Stanford University

Bruno Olshausen from UC Berkeley


Sumit Chopra from Facebook

Yoshua Bengio from Université de Montréal
Pieter Abbeel from UC Berkeley
John Schulman from UC Berkeley

Shakir Mohamed from Google Deepmind

To apply to the Deep Learning Summer School, please fill out the application form before April 11th, 2016.

Summer School Fees:
 $550,00 (CAD) 
 Academic researchers (not students)   $850,00 (CAD) 
 Others (industrial researchers, etc.)   $1500,00 (CAD) 

Important dates:

  • Application process opening:  March 22nd, 2016.
  • Deadline for receiving applications: April 11th, 2016.
  • Application acceptance/rejection decisions: May 7th, 2016.

What do you think?

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