History

mzr1996 548db6f4ac [Refactor] Update optimizer related registries and configs.		2022-07-18 10:53:56 +08:00
..
README.md	[Refactor] Use mdformat instead of markdownlint to format markdown. (#844 )	2022-06-02 15:22:01 +08:00
lenet5_mnist.py	[Refactor] Update optimizer related registries and configs.	2022-07-18 10:53:56 +08:00

README.md

LeNet

Backpropagation Applied to Handwritten Zip Code Recognition

Abstract

The ability of learning networks to generalize can be greatly enhanced by providing constraints from the task domain. This paper demonstrates how such constraints can be integrated into a backpropagation network through the architecture of the network. This approach has been successfully applied to the recognition of handwritten zip code digits provided by the U.S. Postal Service. A single network learns the entire recognition operation, going from the normalized image of the character to the final classification.

Citation

@ARTICLE{6795724,
  author={Y. {LeCun} and B. {Boser} and J. S. {Denker} and D. {Henderson} and R. E. {Howard} and W. {Hubbard} and L. D. {Jackel}},
  journal={Neural Computation},
  title={Backpropagation Applied to Handwritten Zip Code Recognition},
  year={1989},
  volume={1},
  number={4},
  pages={541-551},
  doi={10.1162/neco.1989.1.4.541}}
}