美国塔尔萨大学Heng-Ming Tai教授学术报告

来源:信息科学与技术学院  作者:陈帆  日期:2019-06-05  点击数:497
报告题目:Convolutional Neural Net for Object Recognition

报 告 人:Heng-Ming Tai 教授,University of Tulsa

报告时间:2019年6月5日(星期三)下午 16:00

报告地点:犀浦校区9号教学楼X9303

报告主持:和红杰教授

报告简介:

Convolutional Neural Networks (CNNs) are among the oldest deep neural-network architectures,

and have enjoyed great popularity as a means for image classification,

object recognition, and speech recognition. This talk will revisit the basic principle of CNN,

architectures, layers, convolution map, and the application to object recognition.


报告人简介:

Heng-Ming Tai received the Ph.D. degree in electrical engineering from Texas Tech University, Lubbock, TX, USA, in 1987.

He is a Professor of electrical and computer engineering at the University of Tulsa, Tulsa, OK, USA.

His research interests include signal/image processing and industrial electronics.