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Deep Learning Summer School 2015 - Montreal   

Deep Learning Summer School, Montreal 2015

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.

The Deep Learning Summer School 2015 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.

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Ruslan Salakhutdinov Ruslan Salakhutdinov
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Ruslan Salakhutdinov Ruslan Salakhutdinov

Reviews and comments:

Comment1 Gustavo Botelho de Souza, March 9, 2016 at 3:10 p.m.:


Are you preparing an edition of the Deep Learning Summer School in 2016?

Best regards.


Comment2 Narges Feshang, May 4, 2016 at 4:57 p.m.:

Deep Learning for medicine

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