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