Slides: Deep Learning and Reinforcement Learning Summer School 2017 @ MILA Montreal, Canada

The Deep Learning and Reinforcement Learning Summer School 2017 just finished and here are some of the slides presented there (videos should be coming later) 

• Precup: dlss intro 2017
• Bengio: Recurrent Neural Networks
• Blunsom: Natural Language Processing Language Modelling and Machine Translation
• Blunsom: Structure and Grounding in Natural Language
• Goodfellow: Generative Models I
• Courville: Generative Models II
• Larochelle: Neural Networks 1
• Larochelle: Neural Networks 2
• Osborne: Future of Work
• Osborne: Probabilistic numerics for deep learning
• Richards: Deep Learning in the Brain

Brennan Saeta's TensorFlow Session

• Github Project Tutorial
• TensorFlow Installation Notes

Pascal Lamblin's Theano Session

• Tutorial

Thank you to the organizers for making the slides (and eventually the videos) available:

• Graham Taylor
• Aaron Courville
• Yoshua Bengio.
• Joelle Pineau
• Doina Precup.

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