▣ 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.