 |
 |
*Message sent from a system outside of UConn.* Tue, Apr 21, 2020 9:00 AM - 10:00 AM PDT https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fregister.gotowebinar.com%2Fregister%2F586502998004657932&data=02%7C01%7CCTGIS-L%40listserv.uconn.edu%7C61ad1c1bfb8a48edf3a008d7dbde0516%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C1%7C637219618924224256&sdata=2CCJwOIobUKc3awE6pmVLCCUIhUm2JBzKpMO4vVXTso%3D&reserved=0 Deep Learning has revolutionized imagery exploitation. In a matter of minutes, you can find objects of interest or classify pixels with high accuracy, across massive areas. Applications range from map production automation, damaged structures assessment post hurricanes, counting trees for agriculture census, monitoring land cover change, to counting features from drone imagery and full motion video (FMV). This webinar will cover the following topics: • An introduction to AI, machine learning, and deep learning • Labeling and preparing data for deep learning • Training models and running inference • Integration with deep learning frameworks • Scaling deep learning workflows • Integration with ArcGIS Full Motion Video (FMV) • Examples and use-cases from different industries • Tips on how to start today • Useful resources ----- David Alvarez "Remember to look up at the stars and not down at your feet. Try to make sense of what you see and wonder about what makes the universe exist. Be curious. And however difficult life may seem, there is always something you can do and succeed at. It matters that you don't just give up." ~ Stephen Hawking ------------------------------------------------------------------------- This list (CTGIS-L) is an unmoderated discussion list for all CT GIS Users. To change subscription settings or unsubscribe, visit http://s.uconn.edu/ctgisL.