▣ Title : Introduction to deep learning
▣ Speaker : Min-HoLee(KNU)
▣ Date & Time : Friday, April 10 (2:00 ~ 3:30pm)
▣ Place : LG Research Building, Room #101
▣ Host : Prof. Se-Young Oh(T.2214)
▣ Abstract :
For recent years, the most prominent subfield of machine learning has been deep learning.Deep learning methods have taken a place not only in many professional academic areas such as computer vision and language processing, but also in industrial arena. World’s leading companies like Google, Microsoft and Facebook have teams of specialists working on deep learning, and publish their research in reputed journals. The primary question is: what is the main difference between conventional approaches and deep learning methods? Actually, there already had been several approaches like deep learning but they were impractical. However, recent breakthroughs have been introducing and adapting, deep learning methods eventually defeating many classical state-of-art algorithms in many engineering application fields. Moreover, they have shed light to the brain-like artificial intelligence. In this seminar, I will briefly explain main characteristics and issues of conventional machine learning and deep learning methods. Then, I will introduce research works at my laboratory in this area, which includes the deep kernel machines, deep learning for recurrent neural networks and real world applications.