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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17970 Views
Neural Networks I
Oct 11, 2018
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5969 Views
Autodiff
Oct 11, 2018
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2713 Views
Neural Networks II
Oct 11, 2018
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2160 Views
Advanced Deep Vision
Oct 11, 2018
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3826 Views
RAMP (Practical session)
Oct 11, 2018
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1372 Views
Generative Models I
Oct 11, 2018
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3253 Views
Generative Models II
Oct 11, 2018
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1841 Views
Interpretability
Oct 11, 2018
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2831 Views
Theory
Oct 11, 2018
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1973 Views
Optimization I
Oct 11, 2018
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2942 Views
Optimization II
Oct 11, 2018
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1594 Views
Recurrent Neural Networks (RNNs)
Oct 11, 2018
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5040 Views
Language Understanding
Oct 11, 2018
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1773 Views
Multimodal Learning
Oct 11, 2018
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1850 Views
Computational Neuroscience
Oct 11, 2018
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1733 Views
Bayesian Neural Nets
Oct 11, 2018
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7373 Views
Deep Learning and Music
Oct 11, 2018
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1477 Views
Reinforcement Learning Summer School
Introduction to RL and TD
Oct 11, 2018
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7613 Views
Policy Search
Oct 11, 2018
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2638 Views
Batch RL and ADP
Oct 11, 2018
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1648 Views
Off-Policy Learning
Oct 19, 2018
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2071 Views
Bandits and Explore/Exploit in RL
Oct 11, 2018
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1247 Views
Temporal Abstraction
Oct 11, 2018
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1524 Views
Multi-task and Transfer in RL
Oct 11, 2018
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1349 Views
Deep RL
Oct 11, 2018
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1644 Views
Imitation Learning
Oct 11, 2018
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1405 Views
Safety in RL
Oct 11, 2018
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1307 Views
Multi-agent RL
Oct 11, 2018
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1912 Views