BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Gunnar Carlsson (Stanford University) DTSTART:20200930T170000Z DTEND:20200930T180000Z DTSTAMP:20260423T003245Z UID:MPML/14 DESCRIPTION:Title: To pological Data Analysis and Deep Learning\nby Gunnar Carlsson (Stanfor d University) as part of Mathematics\, Physics and Machine Learning (IST\, Lisbon)\n\n\nAbstract\nDeep Learning is a powerful collection of techniqu es for statistical learning\, which has shown dramatic applications in man y different directions\, including including the study of data sets of ima ges\, text\, and time series. It uses neural networks\, specifically convo lutional neural networks (CNN's)\, to produce these results. What we have observed recently is that methods of topology can contribute to this effor t\, in diagnosing behavior within the CNN's\, in the design of neural netw orks with excellent computational properties\, and in improving generaliza tion\, i.e. the transfer of results of one neural network from one data se t to another of similar type. We'll discuss topological methods in data sc ience\, as well as there application to this interesting set of techniques .\n LOCATION:https://researchseminars.org/talk/MPML/14/ END:VEVENT END:VCALENDAR