@inproceedings{124891213c2447a7a678a39a9d15900c,
title = "Implementation of neural network backpropagation in CUDA",
abstract = "Training a multilayer Neural Network with Backpropagation algorithm is usually a very time consuming processing. In this paper, we propose an approach which uses CUDA programming model and exploits the computing power of Graphic Processing Units (GPUs) to accelerate the Backpropagation process. Experiments show that this method can achieve up to 7 times of speedup over the CPU counterpart.",
keywords = "Backpropagation, CUDA, GPU, Neural Network",
author = "Jinfeng Liu and Lei Guo",
year = "2013",
doi = "10.1007/978-3-642-31656-2_140",
language = "英语",
isbn = "9783642316555",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "1021--1027",
booktitle = "Intelligence Computation and Evolutionary Computation - Results of 2012 International Conference of Intelligence Computation and Evolutionary Computation, ICEC 2012",
note = "2012 International Conference of Intelligence Computation and Evolutionary Computation, ICEC 2012 ; Conference date: 07-07-2012 Through 07-07-2012",
}