Christina Kumler-Bonfanti and Ryan Lagerquist from CIRES will be speaking at two in-person seminars on Deep Learning hosted by CIRES CGA. These seminars are meant to be tutorial (lecture-based) style and are meant for all skill levels. Christina and Ryan have many years of experience with machine-learning applications to atmospheric sciences. 

Dates and Times : October 21, 2:30 - 4:30 pm; November 4, 2:30 - 4:30 pm
Location:  CIRES Fellows Room, Ekeley S274 

We will also provide snacks and drinks. To help us with the logistics, Please fill out this RSVP form.

Day 1 - Friday, October 21, 2:30 - 4:30 pm - The first day will be science-focused. It will cover the basics of neural networks and presentation of two projects using the U-Net neural network structure. The first topic will be on cyclone (both tropical and extratropical) detection in satellite and weather model data. The second topic will be on radar convection over Taiwan. If there is enough time, up-and-coming topics such as explainable and interpretable AI applied to these problems will also be discussed.

Day 2 - Friday, November 4, 2:30 - 4:30 pm -  This will be a jupyter notebook follow-along tutorial covering the basics of neural networks and applying to an atmospheric science problem. Participants will be encouraged to get their computers and code along.

Cheers!