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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17986 Views
Neural Networks I
Oct 11, 2018
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5974 Views
Autodiff
Oct 11, 2018
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2721 Views
Neural Networks II
Oct 11, 2018
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2171 Views
Advanced Deep Vision
Oct 11, 2018
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3838 Views
RAMP (Practical session)
Oct 11, 2018
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1389 Views
Generative Models I
Oct 11, 2018
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3260 Views
Generative Models II
Oct 11, 2018
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1848 Views
Interpretability
Oct 11, 2018
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2837 Views
Theory
Oct 11, 2018
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1976 Views
Optimization I
Oct 11, 2018
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2960 Views
Optimization II
Oct 11, 2018
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1602 Views
Recurrent Neural Networks (RNNs)
Oct 11, 2018
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5051 Views
Language Understanding
Oct 11, 2018
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1784 Views
Multimodal Learning
Oct 11, 2018
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1855 Views
Computational Neuroscience
Oct 11, 2018
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1740 Views
Bayesian Neural Nets
Oct 11, 2018
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7384 Views
Deep Learning and Music
Oct 11, 2018
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1480 Views
Reinforcement Learning Summer School
Introduction to RL and TD
Oct 11, 2018
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7625 Views
Policy Search
Oct 11, 2018
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2661 Views
Batch RL and ADP
Oct 11, 2018
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1656 Views
Off-Policy Learning
Oct 19, 2018
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2082 Views
Bandits and Explore/Exploit in RL
Oct 11, 2018
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1257 Views
Temporal Abstraction
Oct 11, 2018
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1534 Views
Multi-task and Transfer in RL
Oct 11, 2018
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1357 Views
Deep RL
Oct 11, 2018
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1650 Views
Imitation Learning
Oct 11, 2018
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1408 Views
Safety in RL
Oct 11, 2018
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1312 Views
Multi-agent RL
Oct 11, 2018
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1923 Views