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Terehov

GPU realization of a neural network face recognition algorithm
Engineering Education # 12, December 2013
DOI: 10.7463/1213.0659387
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%.
 
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