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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1616 views

Introduction to Machine Learning
Oct 11, 2018
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18022 views

Neural Networks I
Oct 11, 2018
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5989 views

Neural Networks II
Oct 11, 2018
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2185 views

Deep Learning and Music
Oct 11, 2018
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1495 views

Advanced Deep Vision
Oct 11, 2018
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3851 views

Optimization I
Oct 11, 2018
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2993 views

Recurrent Neural Networks (RNNs)
Oct 11, 2018
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5080 views

RAMP (Practical session)
Oct 11, 2018
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1412 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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1746 views

Bayesian Neural Nets
Oct 11, 2018
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7399 views

Interpretability
Oct 11, 2018
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2844 views

Multimodal Learning
Oct 11, 2018
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1884 views

Language Understanding
Oct 11, 2018
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1799 views

Generative Models II
Oct 11, 2018
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1856 views

Generative Models I
Oct 11, 2018
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3279 views

Theory
Oct 11, 2018
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1985 views

Autodiff
Oct 11, 2018
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2737 views
Reinforcement Learning Summer School

Policy Search
Oct 11, 2018
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2679 views

Temporal Abstraction
Oct 11, 2018
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1551 views

Bandits and Explore/Exploit in RL
Oct 11, 2018
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1270 views

Multi-task and Transfer in RL
Oct 11, 2018
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1384 views

Multi-agent RL
Oct 11, 2018
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1932 views

Deep RL
Oct 11, 2018
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1662 views

Safety in RL
Oct 11, 2018
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1324 views

Imitation Learning
Oct 11, 2018
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1426 views

Off-Policy Learning
Oct 19, 2018
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2100 views

Introduction to RL and TD
Oct 11, 2018
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7669 views

Batch RL and ADP
Oct 11, 2018
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1672 views