In recent years, Deep Learning has seen an surge in interest within the data science landscape. It is an area of machine learning but is still often seen as a black box with many complex calculations and transformations. This presentation will delve into the Deep Learning architecture consisting of artificial neural networks and the pros and cons associated with their implementation and how it fits into a data scientist's workflow.
Pizza and networking at 6:00, presentation to start at 6:30.
Last minute update!
CiC didn't book our room again, so we are obliged to move to the Connor auditorium in the FLTC tonight. It's at 660 S. Euclid on the Wash-U Med School campus.