| 1 |
No Class |
Lecture 1: Introduction: Virtual Enviroments and Virtual Boxes |
No assignment |
| 2 |
Lecture 2: Containers |
Reading Discussion 1 |
R:EX1 |
| 3 |
Lecture 3: Kubernetes |
Reading Discussion 2 |
R:EX2 - D:EX1 |
| 4 |
Lecture 4: Dask |
Reading Discussion 3 |
R:EX3 - D:EX2 |
| 5 |
Practicum 1: End to end art search engine |
Practicum 1 |
No assignment |
| 6 |
Lecture 5: Intro to Transfer Learning: basics and CNNs review |
Reading Discussion 4 |
R:EX4 - D:EX3 |
| 7 |
Lecture 6: Transfer Learning for Images and SOTA Models |
Reading Discussion 5 |
R:EX5 - D:EX4 |
| 8 |
Lecture 7: Language Models and Transfer Learning for Text |
Reading Discussion 6 |
R:EX6 - D:EX5 |
| 9 |
Lecture 8: Attention and Transformers |
Reading Discussion 7 |
R:EX7 - D:EX6 |
| 10 |
Lecture 9: Distillation and Compression |
Reading Discussion 8 |
R:EX8 - D:EX7 |
| 11 |
Practicum 2 |
Practicum 2 |
D:EX8 |
| 12 |
Lecture 10: Introduction and Overview of Viz for Deep Models: lime and shapley |
Lecture 11: CNNs for Image Data, Activation Maximization and Saliency Maps |
No assignment |
| 13 |
Lecture 12: Attention for Debugging Language Models |
No Class: Thanksgiving |
No assignment |
| 14 |
Final Project |
Final Project |
No assignment |
| 14 |
Final Project |
Final Project Presentation |
No assignment |