Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6872898 | Future Generation Computer Systems | 2018 | 19 Pages |
Abstract
In this article, we propose the use of multi-threading mechanism to minimize training time by rejecting unnecessary weights selection. In the mechanism we use a multi-core solution to select the best weights between all parallel trained networks. Proposed solution was tested for three types of neural networks (classic, sparking and convolutional) using sample classification problems. The results have shown positive aspects of the proposed idea: shorter training time and better efficiency in various tasks.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Dawid PoÅap, Marcin Woźniak, Wei Wei, Robertas DamaÅ¡eviÄius,