Parallel Training of a Back-Propagation Neural Network Using CUDA
The Artificial Neural Networks (ANN) training represents a time-consuming process in machine learning systems. In this work we provide an implementation of the back-propagation algorithm on CUDA, a parallel computing architecture developed by NVIDIA. Using CUBLAS, a CUDA implementation of the Basic...
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Published in | 2010 International Conference on Machine Learning and Applications pp. 307 - 312 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.12.2010
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Subjects | |
Online Access | Get full text |
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