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Deep Learning School Lectures (September, 2016)

A series of lectures on deep learning, delivered by speakers from the industry: Foundations of Deep Learning by Hugo Larochelle, Twitter; Deep Learning for Computer Vision by Andrej Karpathy, OpenAI; Deep Learning for Natural Language Processing by Richard Socher, Salesforce; TensorFlow Tutorial by Sherry Moore, Google Brain; Foundations of Unsupervised Deep Learning by Ruslan Salakhutdinov, CMU; Nuts and Bolts of Applying Deep Learning by Andrew Ng, Stanford; Deep Reinforcement Learning by John Schulman, OpenAI; Theano Tutorial by Pascal Lamblin, MILA; Deep Learning for Speech Recognition by Adam Coates, Baidu; Torch Tutorial by Alex Wiltschko, Twitter; Sequence to Sequence Deep Learning by Quoc Le, Google; and Foundations and Challenges of Deep Learning by Yoshua Bengio, Stanford.

01. Foundations of Deep Learning (Hugo Larochelle, Twitter)
02. Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
03. Deep Learning for Natural Language Processing (Richard Socher, Salesforce)
04. TensorFlow Tutorial (Sherry Moore, Google Brain)
05. Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)
06. Nuts and Bolts of Applying Deep Learning (Andrew Ng, Stanford)
07. Deep Reinforcement Learning (John Schulman, OpenAI)
08. Theano Tutorial (Pascal Lamblin, MILA)
09. Deep Learning for Speech Recognition (Adam Coates, Baidu)
10. Torch Tutorial (Alex Wiltschko, Twitter)
11. Sequence to Sequence Deep Learning (Quoc Le, Google)
12. Foundations and Challenges of Deep Learning (Yoshua Bengio, Stanford)

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