首页|Researcher from Shanghai University Publishes New Studies and Findings in the Ar ea of Pattern Recognition and Artificial Intelligence (CNN Pruning with Multi-St age Feature Decorrelation)
Researcher from Shanghai University Publishes New Studies and Findings in the Ar ea of Pattern Recognition and Artificial Intelligence (CNN Pruning with Multi-St age Feature Decorrelation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on pattern recogniti on and artificial intelligence are discussed in anew report. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRxcorre spondents, research stated, “This paper proposes a channel pruning method based on multi-stagefeature de-correlation to obtain a more efficient convolutional n eural network (CNN) model.”
Shanghai UniversityShanghaiPeople’s Republic of ChinaAsiaMachine LearningPattern Recognition and Artificial In telligence
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