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Y LeCun, Y Bengio. The handbook of brain theory and neural networks 3361 (10), 1995. , 1995. 8073. 1995. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks.
The Courant Institute of Mathematical Sciences, Center for Neural Science, and. Electrical and Computer Engineering Department, NYU School of Engineering. New York University. Room 1220, 715 Broadway, New York, NY 10003, USA. (212)998-3283 yann [ a t ] cs.nyu.edu yann [ a t ] fb.com. Administrative aide: Hong Tam (212)998-3374 hongtam [ a t ...
May 27, 2015 · Deep learning. Yann LeCun 1,2, Yoshua Bengio 3 & Geoffrey Hinton 4,5 ... was the first major industrial application of deep learning. ADS Google Scholar ...
- Yann Lecun
Yann André LeCun [1] ( / ləˈkʌn / lə-KUN, French: [ləkœ̃]; [2] originally spelled Le Cun; [2] born 8 July 1960) is a Turing Award winning French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience. He is the Silver Professor of the Courant ...
- Maurice Milgram
Yann LeCun is Director of AI Research at Facebook and Silver Professor of Computer Science at the Courant Institute of Mathematical Sciences.He is the founding director of the NYU Center for Data Science, and holds appointments of Professor of Neural Science with the Center for Neural Science, and Professor of Electrical and Computer Engineering with the ECE Department at NYU/Poly.
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Biography. Yann LeCun is Director of the Center for Data Science at New York University, and Silver Professor of Computer Science, Neural Science, and Electrical Engineering at the Courant Institute of Mathematical Science, the Center for Neural Science, and NYU-Poly ECE Department. Curie (Paris) in 1987. After a postdoc at the University of ...
Jun 5, 2023 · In these notes, we summarize the main ideas behind the architecture of autonomous intelligence of the future proposed by Yann LeCun. In particular, we introduce energy-based and latent variable models and combine their advantages in the building block of LeCun's proposal, that is, in the hierarchical joint embedding predictive architecture (H ...
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