报告题目：Recent Development of Deep Learning: Algorithms and Applications

报告摘要：Since the proposal of a fast learning algorithm for deep belief networks in 2006, the deep learning techniques have drawn ever-increasing research interests because of their inherent capability of overcoming the drawback of traditional algorithms dependent on hand-designed features. Deep learning approaches have been found to be suitable for big data analysis with successful applications to computer vision, pattern recognition, speech recognition, natural language processing, and recommendation systems. In this talk, we will discuss some widely-used deep learning architectures and their practical applications. Applications of deep learning techniques on some selected areas (speech recognition, pattern recognition and computer vision) are highlighted. Some future research topics will be given with clear justifications.

报告人简介：Dr. Weibo Liu received the B.Eng. degree in electrical engineering from the Department of Electrical Engineering & Electronics, University of Liverpool, Liverpool, U.K, in 2015, and the Ph.D. degree in artificial intelligence in 2020 from the Department of Computer Science, Brunel University London, Uxbridge, U.K. He is currently a Lecturer in the Department of Computer Science, Brunel University London, Uxbridge, U.K. His research interests include intelligent data analysis, evolutionary computation, transfer learning, machine learning and deep learning. He serves as an Associate Editor for the Journal of Ambient Intelligence and Humanized Computing and the Journal of Cognitive Computation. He is a very active reviewer for many international journals and conferences.

报告时间：2024年8月10日（星期六） 15:00-17:00

报告地点：扬州大学瘦西湖校区数学科学学院208报告厅

主办单位：扬州大学数学科学学院

联系人：凌智

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