Terehov

In this paper the author considers implementation of a neural network face recognition algorithm on a graphical processing unit. The algorithm is based on a classic multilayer perceptron. The training method is backward propagation of errors. This implementation has a seven times performance boost compared with traditional CPU implementation. Error rate of recognition approximately equals to 1%.