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Deep Learning Reveals the Essence of Matt Damon

February 13 @ 5:30 pm - 7:00 pm

Join us Monday, February 13th to hear from Irmak Sirer, Partner and Data Scientist at Datascope Analytics. During his talk, “Deep Learning Reveals the Essence of Matt Damon,” Irmak will show that a deep-learning-powered morphing of his face into Matt Damon’s looks completely natural every step of the way. 

“Hence, my face isn’t that different from a movie star’s face,” he notes. “I’m pretty sure I irrefutably proved how handsome I am using the latest big hot framework in deep learning. Then I did some vector math and explored the pure essence of myself, Matt Damon, and George Clooney.”

During the presentation, you will learn about Generative Adversarial Networks and how they can generate very believable-looking images of actually nonexistent things, all imagined by a neural network.

Event Schedule: 
6:30 – 7:00: Guests arrive, network, enjoy food & drinks 
7:00 – 7:45: Irmak presents, Q&A
7:45 – 8:00: Closing remarks, guests enjoy more food & drinks

Irmak is a data scientist at Datascope Analytics. Before working at Datascope Analytics, he conducted and published academic research on a wide range of topics, including student choices in public schools, web browsing behavior of masses, global airline networks, species conservation in ecology, language topic models, DNA sequences for high gene expression, among others. Technically, Irmak is a Material Scientist (BS and MS, Sabanci University, Turkey), Chemical and Biological Engineer (MS and PhD, Northwestern University) and an Art Historian (Minor, Sabanci University). Practically, he believes in merging knowledge from different disciplines to solve business problems with innovative ways of using data. When he is not striving for this, he believes in movies, bourbon, and Elliott Smith.

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Details

Date:
February 13
Time:
5:30 pm - 7:00 pm
Event Category:
Website:
https://www.meetup.com/Metis-Chicago-Data-Science/

Venue

Metis Chicago
1033 West Van Buren St, 3rd Floor
Chicago, IL us

Organizer

Metis: Chicago Data Science