Table of contents
- Tentative schedule
- Materials table
- Material by week
- Week 1: Introduction and Setup
- Week 2: Python crashcourse
- Week 3: Linear Models
- Week 4: Perceptron
- Week 5: Perceptron continued
- Week 6: Autograd and review
- Week 7: Multi Layer Perceptron
- Week 8: Multi Layer Perceptron
- Week 9: Probability and Machine Learning
- Week 10: Pytorch
- Week 11: CNN
- Week 12: CNN
- Week 13: Regularization
- Week 14:
Tentative schedule
Link to Tentative schedule (Google sheets)
Materials table
| Date | Material | 🎥 | Readings | Homework |
|---|---|---|---|---|
| 01/17 | Slides | 🎥 | Py3 | HW0 |
| 01/19 | Slides | 🎥 |  |  |
| 01/24 | IPYNB | 🎥 | Py3 |  |
| 01/26 | Slides | 🎥 | PyD | HW1 |
| 01/31 | Slides | 🎥 | 1 |  |
| Â | IPYNB | Â | 2 | Â |
| Â | Â | Â | 3 | Â |
| 02/01 | Slides | 🎥 | 4 | HW2 |
| 02/07 | Slides | 🎥 | 5 |  |
| 02/09 | Slides | 🎥 | 5 |  |
| 02/14 | Slides | 🎥 | 5 |  |
| 02/16 | Slides | 🎥 | 5 |  |
| 02/21 | Slides | 🎥 | 5 |  |
| 02/23 | Slides | 🎥 | 5 |  |
| 02/28 | Slides | 🎥 | 5 |  |
| 03/07 | Slides | 🎥 | 5 |  |
| 03/09 | Slides | 🎥 | 6 |  |
| 03/21 | Slides | 🎥 | 6 |  |
| 03/23 | Slides | 🎥 | 8 |  |
Material by week
Week 1: Introduction and Setup
Week 2: Python crashcourse
- 01/24:
- 01/26:
- Slides, Video
- Python_1.ipynb
- Python_2.ipynb
- Recommended reading: Python tutorial and Python Data Model
Week 3: Linear Models
- 01/31:
- 02/02
Week 4: Perceptron
- 02/07
- 02/09
Week 5: Perceptron continued
- 02/14
- 02/16
Week 6: Autograd and review
Week 7: Multi Layer Perceptron
- 03/02
- Midterm exam
Week 8: Multi Layer Perceptron
- 03/09
Week 9: Probability and Machine Learning
Week 10: Pytorch
Week 11: CNN
- 04/06
- Midterm exam
Week 12: CNN
Week 13: Regularization
- 04/20
Week 14:
- 04/25
- 04/27