Results (1)
Search Parameters:
Author/Affiliation: Chengxu MaOpen AccessArticle
6 Pages, 795 KB 
Design of Efficient Convolutional Neural Module Based on An Improved Module
Abstract:
In order to further improve the feature extraction performance of the convolutional neural networks, we focus on the selection and reorganization of key features and suspect that simple changes in the pooling layers can cause changes in the performance of neural networks. According to the conjecture, we design a funnel convolution module, which can filter…
Read More(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Artificial Intelligence in Computer Science (CAI))