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Event · 1998-11

Machine perception

LeNet and convolutional networks

A convolutional network learned to recognise handwritten digits in a real banking system.

LeNet combined convolutions, shared weights and backpropagation in a practical document-recognition system. It was an important bridge from laboratory idea to industrial use: the network learned local visual features itself and operated on a real stream of cheques.

Sources
Proceedings of the IEEEOpen primary source