About
Deep neural networks are a powerful method for automatically learning distributed representations at multiple levels of abstraction. Over the past decade, they have dramatically pushed forward the state-of-the-art in domains as diverse as vision, language understanding, robotics, game playing, graphics, health care, and genomics. The Deep Learning Summer School (DLSS) covers both the foundations and applications of deep neural networks, from fundamental concepts to cutting-edge research results.
The Reinforcement Learning Summer School (RLSS) covers the basics of reinforcement learning and show its most recent research trends and discoveries, as well as present an opportunity to interact with graduate students and senior researchers in the field.
The 2018 DLSS and the RLSS are hosted by the Canadian Institute For Advanced Research (CIFAR) and the Vector Institute, with participation and support from the Alberta Machine Intelligence Institute and the Institut québécois d’intelligence artificielle (MILA).
Videos
Deep Learning Summer School

Optimization II
Oct 11, 2018
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1620 views

Introduction to Machine Learning
Oct 11, 2018
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18046 views

Neural Networks I
Oct 11, 2018
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5996 views

Neural Networks II
Oct 11, 2018
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2190 views

Deep Learning and Music
Oct 11, 2018
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1498 views

Advanced Deep Vision
Oct 11, 2018
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3861 views

Optimization I
Oct 11, 2018
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2999 views

Recurrent Neural Networks (RNNs)
Oct 11, 2018
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5104 views

RAMP (Practical session)
Oct 11, 2018
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1416 views

Introduction to Convolutional Neural Networks (CNNs)
Oct 11, 2018
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2513 views

Computational Neuroscience
Oct 11, 2018
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1756 views

Bayesian Neural Nets
Oct 11, 2018
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7405 views

Interpretability
Oct 11, 2018
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2849 views

Multimodal Learning
Oct 11, 2018
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1899 views

Language Understanding
Oct 11, 2018
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1802 views

Generative Models II
Oct 11, 2018
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1860 views

Generative Models I
Oct 11, 2018
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3287 views

Theory
Oct 11, 2018
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1998 views

Autodiff
Oct 11, 2018
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2746 views
Reinforcement Learning Summer School

Policy Search
Oct 11, 2018
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2681 views

Temporal Abstraction
Oct 11, 2018
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1555 views

Bandits and Explore/Exploit in RL
Oct 11, 2018
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1276 views

Multi-task and Transfer in RL
Oct 11, 2018
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1391 views

Multi-agent RL
Oct 11, 2018
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1937 views

Deep RL
Oct 11, 2018
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1666 views

Safety in RL
Oct 11, 2018
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1333 views

Imitation Learning
Oct 11, 2018
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1432 views

Off-Policy Learning
Oct 19, 2018
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2106 views

Introduction to RL and TD
Oct 11, 2018
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7673 views

Batch RL and ADP
Oct 11, 2018
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1676 views