Y. L. Cun

发表

Learning Process in an Asymmetric Threshold Network

Y. L. Cun, 1986 .

Optical Character Recognition and Neural-Net Chips

Lawrence D. Jackel, Isabelle Guyon, Bernhard E. Boser, 1990 .

An analog neural network processor with programmable topology

Lawrence D. Jackel, Bernhard E. Boser, E. Sackinger, 1991 .

Original approach for the localisation of objects in images

R. Vaillant, Y. Le Cun, C. Monrocq, 1994 .

An original approach for the localization of objects in images

R. Vaillant, Y. Le Cun, C. Monrocq, 1993 .

On-line learning for very large data sets

Léon Bottou, Yann Le Cun, L. Bottou, 2005 .

A Theoretical Framework for Back-Propagation

Yann Le Cun, Y. L. Cun, 1988 .

EVALUATION OF NETWORK ARCHITECTURES ON TEST LEARNING TASKS.

Patrick Gallinari, Y. Le Cun, Sylvie Thiria, 1987 .

Document Analysis with Transducers

Yoshua Bengio, L. Bottou, Y. L. Cun, 2015 .

Automata networks and artificial intelligence

Sylvie Thiria, Patrick Gallinari, Yann Le Cun, 1987 .

Backpropagation Learning for Multi-layer Feed-forward Neural Networks Using the Conjugate Gradient Method. Ieee Transactions on Neural Networks, 1991. [31] M. F. Mller. a Scaled Conjugate Gradient Algorithm for Fast Supervised Learning. Technical Report Pb-339

B. Boser, H. P. Graf, Y. Le Cun, 2007 .

Generalization and Network Design Strategies

Y. L. Cun, 2012 .

On-line learning for very large data sets: Research Articles

Léon Bottou, Yann Le Cun, L. Bottou, 2005 .

Eigenvalues of covariance matrices: Application to neural-network learning.

Kanter, Solla, Y. L. Cun, 1991, Physical review letters.

VLSI implementations of electronic neural networks: an example in character recognition

Y. Le Cun, L.D. Jackel, J.S. Denker, 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.