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SUMMARY:IC Colloquium : Deep Learning: Present\, Challenges and Beyond
DTSTART:20150205T101500
DTEND:20150205T113000
DTSTAMP:20260502T060948Z
UID:06170f9b0a037761bd2efc526a32f89f9a872b8d51e47e163ef5c96e
CATEGORIES:Conferences - Seminars
DESCRIPTION:By : Kyunghyun Cho - University of Montreal\nIC Faculty candid
 ateAbstract :\nDeep learning has become increasingly popular due to its su
 ccess in challenging machine learning tasks such as large-scale object rec
 ognition\, speech\nrecognition and machine translation. In deep learning\,
  we aim to build general computational models for data and tasks that exhi
 bit rich\, complex underlying structures\, such as vision\, speech and hum
 an languages.  In this talk\, I will give a brief overview of the princip
 les behind deep learning and present in detail my latest research on neura
 l machine translation and image/video description generation. I will concl
 ude the talk by discussing the future of deep learning research\, which I 
 believe will let us gain insight into highly complicated natural phenomena
 .Bio :\nKyunghyun Cho is a postdoctoral researcher at the University of Mo
 ntreal (Canda) under the supervision of Prof. Yoshua Bengio since early 20
 14. He has received B.Sc. in computer science from KAIST (Korea) in 2009. 
 He continued his study at Aalto University (Finland) and received Ph.D. de
 gree in 2014. His main research interest includes neural networks\, genera
 tive models and their applications\, especially\, to language understandin
 g.More information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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