Neural network training with Extended Kalman filter using graphics processing unit

被引：0

作者：

Trebaticky, Peter ^{[1
]}

Pospichal, Jiri ^{[1
]}

机构：

[1] Slovak Tech Univ, Fac Informat & Informat Technol, Bratislava 84216, Slovakia

来源：

ARTIFICIAL NEURAL NETWORKS - ICANN 2008, PT II | 2008年 / 5164卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The graphics processing unit has evolved through the years into the powerful resource for general purpose computing. We present in this article the implementation of Extended Kalman filter used for recurrent neural networks training, which most computational intensive tasks are performed oil the GPU. This approach achieves significant speedup of neural network training process for larger networks.

引用

页码：198 / 207

页数：10

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