| Autor: |
Izotov, P., Kazanskiy, N., Golovashkin, D., Sukhanov, S. |
| Zdroj: |
Optical Memory & Neural Networks; Jun2011, Vol. 20 Issue 2, p98-106, 9p |
| Abstrakt: |
Using a convolutional neural network as an example, we discuss specific aspects of implementing a learning algorithm of pattern recognition on the GPU graphics card using NVIDIA CUDA architecture. The training time of the neural network on a video-adapter is decreased by a factor of 5.96 and the recognition time of a test set is decreased by a factor of 8.76 when compared with the implementation of an optimized algorithm on a central processing unit (CPU). We show that the implementation of the neural network algorithms on graphics processors holds promise. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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