Deep Learning in AI: The History, The Present and The Future

AI deep learning expert and University of Montreal Professor Yoshua Bengio talks about deep learning—what Deep Learning and AI are, how Deep Learning got there, where it’s going, and how you can learn more about it. He discusses the latest in neural nets, unsupervised learning, generative adversarial networks, soft attention, optimization, and more.

Yoshua Bengio (born 1964 in France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. Yoshua Bengio is Full Professor of the Department of Computer Science and Operations Research, head of the Montreal Institute for Learning Algorithms (MILA), CIFAR Program co-director of the CIFAR program on Learning in Machines and Brains, Canada Research Chair in Statistical Learning Algorithms. His main research ambition is to understand principles of learning that yield intelligence. He teaches a graduate course in Machine Learning and supervises a large group of graduate students and post-docs. His research is one of the most cited scientists in the field of deep learning.

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