Yoshua Bengio
| Yoshua Bengio | |
|---|---|
| Born | 1964 (age 52–53) France |
| Residence | Montreal, Quebec |
| Citizenship | Canada/Israel |
| Fields | Computer science |
| Institutions | Université de Montréal |
| Alma mater | McGill University |
| Thesis | Artificial Neural Networks and their Application to Sequence Recognition (1991) |
| Doctoral advisor | Renato de Mori |
| Notable students | Ian Goodfellow |
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Website iro |
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Yoshua Bengio (born 1964 in France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning.
Bengio received his Bachelor of Science (electrical engineering), Master of Engineering (computer science) and PhD (computer science) from McGill University. He was a post-doctoral fellow at MIT (under Michael I. Jordan) and AT&T Bell Labs. Bengio has been a faculty member at the Université de Montréal since 1993 and is a fellow of the Learning in Machines & Brains project of the Canadian Institute for Advanced Research.
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