DLRL Summer School 2018 - Toronto
Deep Learning and Reinforcement Learning Summer School, Toronto 2018
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).
Deep Learning Summer School | ||||
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Reinforcement Learning Summer School | ||||
It is good! I am a Ph.D. student and I am doing the research about facility layout. I hope I could do some research combine the machine learning and deep learning. I will learn all of the summer courses. Thank you for your sharing!
Are These videos shown in an Specific Order, Because I can't recognize the order, And I am new to AI and Related Researches
I want to suggest the Production team of Toronto of these video Lectures that:
Please improve the Camera Angles, Views at the Displays as well as Videos Such as TEDx of youtube does
Looking forward some talking about Hinton's capsule net. That is the feature...
Thanks for sharing videos that I had enjoyed during the past months. The quality and features of video streaming could be improved a bit in the future.
Thank you provide these videos. Will you provide all synchronized versio? There are just a few three synchronized video.
Thanks a lot for sharing this videos for education and sharing knowledge.
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