Welcome! This repo contains material for a tutorial on scientific machine learning and TensorFlow at the Institute for Computational and Experimental Research in Mathematics, Brown University, February 1-2, 2024. You'll find slides and Jupyter notebooks for lectures and Jupyter notebooks for exercises.
Here's our schedule,
| Day 1 | |
|---|---|
| 9:00am - 9:45am | Introduction and TensorFlow basics |
| 9:45am - 10:15am | Neural networks I |
| 10:15am - 10:30am | Coffee Break |
| 10:30am - 11:30am | Neural networks II |
| 11:30am - 1:30pm | Lunch/Free Time |
| 1:30pm - 4:00pm | Physics informed neural networks and inverse problems |
| 4:00pm - 4:30pm | Coffee Break |
| 4:30pm - 5:00pm | Bayesian Inference and Gaussian Processes II |
| Day 2 | |
|---|---|
| 9:00am - 10:15am | Bayesian Inference and Gaussian Processes II |
| 10:15am - 10:30am | Coffee Break |
| 10:30am - 11:30am | Operator Learning I |
| 11:30am - 1:30pm | Lunch/Free Time |
| 1:30pm - 3:30pm | Operator Learning II |
| 3:30pm - 4:00pm | Coffee Break |
| 4:00pm - 4:30pm | Advanced topics. Future directions. Reproducibility. |
| 4:30pm - 5:00pm | Open Discussion |
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