首页|New Findings from Anhui University in the Area of Machine Learning Reported (Hyp ertuner: a Cross-layer Multi-objective Hyperparameter Auto-tuning Framework for Data Analytic Services)
New Findings from Anhui University in the Area of Machine Learning Reported (Hyp ertuner: a Cross-layer Multi-objective Hyperparameter Auto-tuning Framework for Data Analytic Services)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Hefe i, People’s Republic of China, by NewsRx correspondents, research stated, “Hyper parameters optimization (HPO) is vital for machine learning models. Besides mode l accuracy, other tuning intentions such as model training time and energy consu mption are also worthy of attention from data analytic service providers.”
HefeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningAnhui University