首页|Studies in the Area of Machine Learning Reported from Southeast University (Deep Learning Based Features Extraction for Facial Gender Classification Using Ensem ble of Machine Learning Technique)
Studies in the Area of Machine Learning Reported from Southeast University (Deep Learning Based Features Extraction for Facial Gender Classification Using Ensem ble of Machine Learning Technique)
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 DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news originatingfrom Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “Accurate andefficient gende r recognition is an essential for many applications such as surveillance, securi ty, andbiometrics. Recently, deep learning techniques have made remarkable adva ncements in feature extractionand have become extensively implemented in variou s applications, including gender classification.”
JiangsuPeople’s Republic of ChinaAsi aCybersecurityCyborgsEmerging TechnologiesMachine LearningSoutheast Un iversity
NETL
NSTL
