Gradient-based learning applied to document recognition

@article{LeCun1998GradientbasedLA,
  title={Gradient-based learning applied to document recognition},
  author={Yann LeCun and L{\'e}on Bottou and Yoshua Bengio and Patrick Haffner},
  journal={Proc. IEEE},
  year={1998},
  volume={86},
  pages={2278-2324}
}
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. [] Key Method Convolutional neural networks, which are specifically designed to deal with the variability of 2D shapes, are shown to outperform all other techniques. Real-life document recognition systems are composed of multiple modules including field extraction, segmentation recognition, and language modeling. A new learning paradigm, called graph…

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