Department of Computer Science, University of Manitoba

“Deep Learning: An Introduction and Recent Advances”

Date: Thursday, February 7, 2019
Time: 2:45 p.m.
Location: P230 Duff Roblin

Deep learning has emerged as one of the most powerful techniques in many domains and has been driving lots of commercial successes. In this talk, I will give an overview of the current status of deep learning with a focus on computer vision applications. I will review what problems can be solved by these technologies, and what are some of the changes still lie ahead. If time permits, I will also present some recent work in my own lab that uses deep learning for various computer vision applications.

Important Dates

January 21: Course Add Date - the last date to add a course in the revision period for Winter term and Winter/Summer term courses

January 21: Deadline to Apply Online to Graduate for Spring 2019 (most students)

Upcoming Seminars

Statistics seminar: Erfanul Hoque: “Random effects covariance matrix modeling for longitudinal data with covariates measurement error” — Thursday, January 24 at 2:45 p.m., P230 Duff Roblin.

Statistics seminar: Shirley E. Mills: “Data Analytics and its Application to the World of Sports” — Wednesday, January 30 at 2:45 p.m., 262 E3 EITC.

Statistics seminar: Yang Wang: “Deep Learning: An Introduction and Recent Advances” — Thursday, February 7 at 2:45 p.m., P230 Duff Roblin.

Statistics seminar: Aleeza Gerstein: “TBA” — Thursday, February 14 at 2:45 p.m., P230 Duff Roblin.

Where are they now?

Taraneh Abarin, Ph.D. (2009)

Lesley Crisostomo Alagar, M.Sc. (2006)