It is deployed commercially and reads several million cheques per day. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf 1998年にYann Lecunらが発表した畳み込み…

It uses Convolutional Neural Network character recognizers combined with global training techniques to provide record accuracy on business and personal cheques. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" …

A Graph Transformer Network for reading a bank cheque is also described. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf 1998年にYann Lecunらが発表した畳み込…

Experiments demonstrate the advantage of global training, and the flexibility of Graph Transformer Networks. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf 1…

Two systems for online handwriting recognition are described. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf 1998年にYann Lecunらが発表した畳み込みニューラル…

A new learning paradigm, called Graph Transformer Networks (GTN), allows such multimodule systems to be trained globally using Gradient-Based methods so as to minimize an overall performance measure. Yann LeCun, et al., "Gradient-Based Lea…

Real-life document recognition systems are composed of multiple modules including field extraction, segmentation recognition, and language modeling. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.…

Convolutional Neural Networks, which are specifically designed to deal with the variability of 2D shapes, are shown to outperform all other techniques. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://ya…

This paper reviews various methods applied to handwritten character recognition and compares them on a standard handwritten digit recognition task. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.l…

Given an appropriate network architecture, Gradient-Based Learning algorithms can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as handwritten characters, with minimal preprocessing. Yan…

Multilayer Neural Networks trained with the backpropagation algorithm constitute the best example of a successful Gradient-Based Learning technique. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.…