Yann LeCun's Home Page
2024年7月14日 · Yann LeCun argues current AI methods are flawed as he pushes for ‘world modelling’ vision for superintelligence (Financial Times, 05/2024) TIME 100 Impact Award: Yann Lecun Is Optimistic That AI Will Lead to a Better World (TIME, 02/2024) Meta’s AI Chief Yann LeCun on AGI, Open-Source, and AI Risk (TIME, 02/2024)
Yann LeCun's Home Page
Yann's DjVu page: a description of DjVu, and a set of useful links. Technical talk on DjVu : watch a streaming video of Yann's Distinguished Lecture at the University of Illinois at Urbana-Champaign, October 22 2001.
Yann LeCun's Biography
Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Dara Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer Engineering ...
Yann LeCun's Research and Contributions
[Vaillant Monrocq LeCun 1994] [Vaillant Monrocq LeCun 1993] Since then, several other groups have applied various types of neural nets to face detection by explicitely applying replicas of a recognizer at every position and at several scales. Oddly enough, none of them have used convolutional architectures, despite the tremendous computational ...
THE MNIST DATABASE - Yann LeCun
The digit images in the MNIST set were originally selected and experimented with by Chris Burges and Corinna Cortes using bounding-box normalization and centering. Yann LeCun's version which is provided on this page uses centering by center of mass within in a larger window. Yann LeCun, Professor The Courant Institute of Mathematical Sciences
MNIST Demos on Yann LeCun's website
Y. LeCun and Y. Bengio. Convolutional networks for images, speech, and time-series. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks .
[bib2web] Yann LeCun's Publications
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato and Fu-Jie Huang: Energy-Based Models in Document Recognition and Computer Vision, Proc. International Conference on Document Analysis and Recognition (ICDAR), (keynote address), 2007, \cite{lecun-icdar-keynote-07}.
Karol Gregor and Yann LeCun {kgregor,yann}@cs.nyu.edu Courant Institute, New York University, 715 Broadway, New York, NY 10003, USA Abstract In Sparse Coding (SC), input vectors are re-constructed using a sparse linear combination of basis vectors. SC has become a popu-lar method for extracting features from data.
- [PDF]
Yann LeCun
(Bottou and LeCun 1988) runnmg on a SUN-4/260. The nonlinear function used at each node was a scaled hyperbolic tan- gent Symmetnc functions of that kind are believed to Yield faster con- vergence, although the learnmg can be extremely slow If some weights are too small (LeCun 1987). The target values for the output units were
Image Processing Research Department - Yann LeCun
The group produced not only the world's first neural net chip, but also the first (and may be the last) neural net chips to actually do something useful. Generations of chips included "Net32K" designed by Hans-Peter Graf, and the ANNA chip designed by Bernhard Boser and Edi Sackinger with help from Yann LeCun. Those chips used mixed digital ...