首页 /研究 /An efficient end-to-end deep learning architecture for activity classification
LEARNING

An efficient end-to-end deep learning architecture for activity classification

Amel Ben Mahjoub, Mohamed Atri

发表年份
2018
引用次数
21

关键词

End-to-end principleArchitectureComputer architectureComputer scienceDeep learningArtificial intelligenceGeography

相关论文

查看 LEARNING 分类全部论文