On the 6 May 2014 we will be running a workshop on Deep Learning to bring together those who are working in Machine Learning, Statistics, and the wider community, who are working on, using or interested in Deep Machine Learning Methods.
These include methods such as Deep Belief Networks, Deep Boltzmann Machines, Deep Convolutional Networks, Deep Autoencoders or any other related methods, including other methods of automated representation learning. This workshop will be a benefit to those currently utilising or developing such methods, those wanting to know what can be done and understand some of the practical issues hidden behind the hype, or those who are just interested in finding out more. It will also be of interest to those in early stage businesses who wish to harness this exciting technology.
The workshop will be held at the School of Informatics, University of Edinburgh. The outline of the event is:
- 08.45 Welcome and Coffee
- 09.00 Introductory Talk
- 09.20 Contributed Talk
- 09.40 Contributed Talk
- 10.00 Coffee, Discussion and Ideas Factory
- 11.00 Invited Speaker: Ruslan Salakhutdinov (University of Toronto, confirmed)
- 12.00 Catered Lunch.
- 13:00 Contributed Talk
- 13:30 Contributed Talk
- 14:00 Coffee, Discussion Period and Breakout, Posters
- 15:00 Invited Speaker: Volodymyr Mnih (Google DeepMind, confirmed)
- 16:00 Contributed Talk
- 16:30 Round Table Application Directed Discussion
- 17:30 Summary, and Action Plan
- 18:00 Evening pub trip for those who don’t need to leave
You can find full details of the workshop at http://workshops.inf.ed.ac.uk/deep/deep2014/ or register directly at http://www.eventbrite.com/e/deep-learning-workshop-tickets-10924366073
