November 15 – 30, 2022

The AI2ES is hosting a virtual short course on transformers.

Please complete a brief anonymous survey about the course after viewing the recordings. Here is the link to the survey.

The sessions are as follows:

• Tuesday, Nov 15, 4-5PM CST – Transformers part I: Recurrent Neural Networks & the Gradient Problem; Solutions using Attention – Andrew H. Fagg. Recording, Slides
• Monday, Nov 21, 3:30-4:30PM CST – Transformers part II: Positional Encodings and the Basic Transformer Architecture – Andrew H. Fagg. Recording, Slides (for Sessions 1 and 2) 
• Monday, Nov 28, 3:30-5PM CST – Transformers part III: Transformers in 2D – Andrew H. Fagg. Recording, Slides (for Sessions 1-3)

• Wednesday, Nov 30, 4-5PM CST – Transformer for Meteorological Forecasting Based on Multi-dimensional Input Data – Hamid Kamangir. Recording, Slides

Look for a 4th interactive session in early 2023!