The RSS Statistical Computing section is hosting a half-day event on Deep Learning at the Royal Statistical Society in London. This event will include three presentations from academic and industrial researchers actively working on the development and application of deep learning algorithms. The first talk, given by Andreas Damianou (Amazon) will provide an introduction to deep learning, followed by two research-focused talks by Silvia Chiappa (DeepMind) and Ana Namburete (University of Oxford). Titles and abstracts to follow.
This event will take place 1pm-4pm on Thursday 13th December 2018 at the Royal Statistical Society, 12 Errol Street, London, EC1Y 8LX. This event will also include the Annual General Meeting of the Statistical Computing section (schedule given below).
Attendance at this event must be registered through the RSS events page (https://tinyurl.com/rss-deep-learning<https://www.google.com/url?q=https%3A%2F%2Ftinyurl.com%2Frss-deep-learning&sa=D&sntz=1&usg=AFQjCNFd0hOUdSVfMQSIPPZB98Yg2ODg2A>) and is free for RSS fellows.
Schedule
1:00 pm - 2:00 pm: Introduction to Deep Learning (Andreas Damianou, Amazon)
2:00 pm - 2:30 pm: RSS Statistical Computing Section Annual General Meeting + Tea and Coffee Break
2:30 pm - 3:15 pm: Silvia Chiappa (DeepMind)
3:15 pm - 4:00 pm: Ana Namburete (University of Oxford)
Sent on behalf of the RSS Statistical Computing section
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