Deep Learning And Cognition | Yoshua Bengio, Full Professor at Université de Montréal
These videos are part of the Deep Learning Summit, Montreal 2019 Event
How has Deep Learning Developed in 2019
System 1 v System 2 Cognition in Machine Learning
“Deep Learning was great, what’s next?”
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Yoshua Bengio, Full Professor at Université de Montréal
Yoshua Bengio (Ph.D. in CS, McGill University, 1991), post-docs at M.I.T. (Michael Jordan) and AT&T Bell Labs (Yann LeCun), CS professor at Université de Montréal, Canada Research Chair in Statistical Learning Algorithms, NSERC Chair, CIFAR Fellow, member of NIPS foundation board and former program/general chair, co-created ICLR conference, authored two books and over 300 publications, the most cited being in the areas of deep learning, recurrent networks, probabilistic learning, natural language, and manifold learning. He is among the most cited Canadian computer scientists and is or has been associate editor of the top journals in machine learning and neural networks.