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[Online Meetup] Deep Learning Study Group

Setup Time:
15 minutes
Start:
Wednesday, September 16, 2020 at 06:30pm
End:
Wednesday, September 16, 2020 at 08:30pm
Teardown Time:
15 minutes
Type:
Meetup
Estimated size:
40
Fee:
Rooms:
Classroom

Details:
Deep learning is evolving quickly. Important new developments are appearing daily. This group attempts to keep up by reading and discussing current deep learning literature. This meetup uses discussion among the participants to speed understanding of current research results. That requires that some participants read the paper before attending. Anyone is welcome to attend and listen without reading the paper. If nobody reads the paper, the meeting will be short.

RSVP: https://www.meetup.com/HackerDojo/events/hdztwrybcmbvb/

Papers that we're reading, code that participants generate, and other random stuff can be found at GitHub site for the group.

mike-bowles/hdDeepLearningStudy (https://github.com/mike-bowles/hdDeepLearningStudy)

🎓 Topic:
https://arxiv.org/pdf/1912.02762.pdf - Normalizing Flows for Probabilistic Modeling and Inference
This is a very long paper. We'll cover sections 4 and 5 in this session.

Please RSVP to see the Zoom link to the meeting.

This meetup is in collaboration with Dr. Mike Bowles from the Silicon Valley Hands-On Programming Events group (https://www.meetup.com/HandsOnProgrammingEvents/events/).

Mike’s career started out in research, as an assistant professor at MIT. He went on to found and run two companies, both of which went on to IPO: Com21, an early pioneer in developing cable modem networks, which Mike led to a successful NASDAQ IPO at a $300m valuation. He then went on to create IBeam Broadcasting, a video distribution network, which after just 2.5 years he led to a $3b IPO.

His LinkedIn: https://www.linkedin.com/in/mikebowles/

Notes:


Member RSVP

Hacker Dojo members may login to reserve space in the event room up to 48 hours before the event.

Member RSVP does not imply event registration if applicable.