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Gradient-Based Learning Applied to Document Recognition

Gradient-Based Learning Appliedto Document RecognitionYANN LECUN,MEMBER, IEEE,L EON BOTTOU, YOSHUA BENGIO,ANDPATRICK HAFFNERI nvited PaperMultilayer neural networks trained with the back-propagationalgorithm constitute the best example of a successful Gradient-Based Learning technique. Given an appropriate networkarchitecture, Gradient-Based Learning algorithms can be usedto synthesize a complex decision surface that can classifyhigh-dimensional patterns, such as handwritten characters, withminimal preprocessing. This paper reviews various methodsapplied to handwritten character Recognition and compares themon a standard handwritten digit Recognition task.

Multilayer neural networks trained with the back-propagation ... ingly important role in the design of pattern recognition systems. In fact, it could be argued that the availability ... high-dimensional inputs and can generate intricate decision functions when fed with these large data sets. It can be

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