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).
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Uploaded videos:
Deep Learning Summer School
Introduction to Machine Learning
Oct 11, 2018
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17994 Views
Neural Networks I
Oct 11, 2018
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5977 Views
Autodiff
Oct 11, 2018
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2729 Views
Neural Networks II
Oct 11, 2018
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2177 Views
Advanced Deep Vision
Oct 11, 2018
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3846 Views
RAMP (Practical session)
Oct 11, 2018
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1390 Views
Generative Models I
Oct 11, 2018
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3267 Views
Generative Models II
Oct 11, 2018
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1850 Views
Interpretability
Oct 11, 2018
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2839 Views
Theory
Oct 11, 2018
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1978 Views
Optimization I
Oct 11, 2018
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2978 Views
Optimization II
Oct 11, 2018
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1605 Views
Recurrent Neural Networks (RNNs)
Oct 11, 2018
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5053 Views
Language Understanding
Oct 11, 2018
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1791 Views
Multimodal Learning
Oct 11, 2018
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1859 Views
Computational Neuroscience
Oct 11, 2018
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1743 Views
Bayesian Neural Nets
Oct 11, 2018
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7387 Views
Deep Learning and Music
Oct 11, 2018
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1483 Views
Reinforcement Learning Summer School
Introduction to RL and TD
Oct 11, 2018
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7642 Views
Policy Search
Oct 11, 2018
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2666 Views
Batch RL and ADP
Oct 11, 2018
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1661 Views
Off-Policy Learning
Oct 19, 2018
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2085 Views
Bandits and Explore/Exploit in RL
Oct 11, 2018
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1261 Views
Temporal Abstraction
Oct 11, 2018
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1539 Views
Multi-task and Transfer in RL
Oct 11, 2018
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1366 Views
Deep RL
Oct 11, 2018
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1657 Views
Imitation Learning
Oct 11, 2018
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1414 Views
Safety in RL
Oct 11, 2018
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1318 Views
Multi-agent RL
Oct 11, 2018
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1926 Views