What we're about

The DC Deep Learning Working Group (DC DLWG) is for those interested in becoming proficient with Deep Learning concepts and coding. Our approach is highly collaborative and we learn through discussion rather than by just listening to lectures. We use journal papers, video lectures and Deep Learning courses to drive our discussions and provide coding exercises. Occasionally group members present special related topics helpful to the group’s understanding. Our group grew out of the Machine Learning Journal Club, led by Don Vetal, which focused on studying academic papers related to machine learning, optimization and data science and pursued knowledge of the real guts of the algorithms. We continue keeping to that spirit, but now focus on coding as well.

We generally meet weekly. The meeting format typically alternates between lecture/paper discussions and lab sessions where we review code. In our lecture sessions we discuss and gain a better understanding of course lectures. In our lab sessions, we walk methodically through code from course assignments. We intend to expand our projects beyond the course material, based on the interests of the group.

We welcome all new members and participants, regardless of experience level, who are excited about rolling up their sleeves to dig into Deep Learning. We use Python and Google’s TensorFlow framework. We assume participants are comfortable enough with programming to pick up Python on their own. In August 2016 we finished covering the Udacity course on Deep Learning and TensorFlow (https://www.udacity.com/course/deep-learning--ud730). It would be highly beneficial, though not required, to review that material, as we proceed in September 2016 to follow Stanford’s CS224d Deep Learning for Natural Language Processing (http://cs224d.stanford.edu/).

Upcoming events (1)

Reboot Kickoff Meeting of DC Deep Learning Working Group

Redhorse Corporation

Calling All DC Deep Learning Enthusiasts! Winter is ending and we are coming out of hibernation and excited to announce that we are re-starting the DC Deep Learning Working Group meetings. We could not have done this without the generous help and sponsorship of Redhorse Corporation in Rosslyn. A big thank you to Redhorse for being our host for these meetings, and to Mark Shiffer for connecting us to them. Our plan for this series is to meet approximately every 2 weeks to discuss lectures in Andrew Ng's "Neural Networks and Deep Learning" online course (https://www.coursera.org/learn/neural-networks-deep-learning?specialization=deep-learning). In addition, every 3rd meeting we will devote to a special topic. This could be a hands-on exercise with data and code that we can tackle together, or a discussion of the technical details of one of the latest advances in deep learning applications. We are a "working group" so our meetings are not lectures, but rather group discussions of the meeting topic or exercise. Prior to each meeting, we will ask you to review the materials (lecture, code, papers) so that our discussion can be an interactive exchange of ideas and questions. RSVPs will open up 1 week in advance of our meeting. Please feel free to reach out to any of us with questions or suggestions or to say hello. We look forward to seeing you in a few weeks. Sincerely, Kathleen, Brian and Puneet Prerequisites: TBD

Past events (52)

DC Deep Learning Working Group Meetup at Walmart Labs

Photos (2)