The aim of this group is to bring together people interested in the family of machine learning methods that are concerned with learning distributed, hierarchical ("deep") representations. Neural Networks being the most popular implementation. The format will be based around guest speakers sharing new research ideas and applications covering a wide range of fields from computer vision and natural language processing to autonomous systems and prognostics.
Note: we are not assuming deep learning is the be-all end-all silver bullet of machine learning and welcome critical thoughts and benchmarks.
We are a relatively new group and on the lookout for good technical speakers. If you have something relevant you would like to share or know somebody who would be interested, please get in touch.
Similarly any sponsorship to help with pizzas and the like is always welcome.
The audience can be expected to at least have a basic understanding of computer science and programming concepts. Talks should be engaging and have a relevance to the real world but not shy away from the technical.
Handwaving should be avoided and no marketing speak.
For a two speaker meetup the talk length is around 30 min + 15min for questions. If you need/want more just get in touch. All slides, code, etc. will end up in our github repo.
The organizer will need the following info from you: name, short bio, picture, talk title, talk description, github username, twitter handle
Note that talks are typically recorded and made available online. If this is a problem for you just let the organiser know.
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|About Deep Learning London Meetup||February 25, 2014 4:05 PM||former member|