A repository for materials used for Data Lab training and workshop series on deep learning. Each directory is named after the title of individual workshops.
Please visit the Wiki to find details of each lecture.
In this series, you will learn everything about deep learning and how large language models work. We will start with how deep learning works fundamentally and by the end of the workshop series, you will be building your own ChatGPT. No prerequisites except Python knowledge are required.
RESOURCES AND NOTES:
- REGISTER
- Introduction to Deep Learning wiki
- We meet on Thursdays at 3 PM in Weaver Science and Engineering Library Rm 212.
- Zoom: https://arizona.zoom.us/j/86423223879
- There will be no workshop during Spring Break week.
- Content schedule and content are subject to change.
| Date | Topic |
|---|---|
| 01/18 | Intro to Deep Learning |
| 01/25 | Deep Learning Fundamental Architectures 1 |
| 02/01 | Deep Learning fundamental architectures 2 |
| 02/08 | Intro to Natural Language Processing 1 |
| 02/15 | Intro to Natural Language Processing 2 |
| 02/22 | Applications of deep learning 1 |
| 02/29 | Applications of deep learning 2 |
| 03/07 | Spring break |
| 03/14 | Applications of deep learning 3 |
| 03/21 | Applications of deep learning 4 |
| 03/28 | Image analysis and deep learning 1 |
| 04/04 | Image analysis and deep learning 2 |
| 04/11 | State of the Art of Deep Learning 1 |
| 04/18 | Quantum AI 1 |
| 04/25 | Quantum AI 2 |
Updated: 01/19/2024 (C. Lizárraga)
UArizona Data Lab, Data Science Institute, University of Arizona.
