(fastai + cs231n/cs224n/Ucb DeepRL)
| Week | Recap (09:30 to 10:30) | Morning Session (10:30 to 01:00) | Evening Session (02:00 to 04:00) | Blog |
|---|---|---|---|---|
| 0 | Introduction | Meet & Greet | Feedback | Session 0 |
| 1 | Introduction, Previous week recap | Part1 deeplearning.ai | Git demo, Numpy and Pandas exercises | Session 1 |
| 2 | '' | Part2 deeplearning.ai | Part2 deeplearning.ai | Session 2 |
| 3 | '' | Part3 deeplearning.ai | NN (backprop) in numpy, Introduction to DL frameworks | Session 3 |
| 4 | '' | fast.ai intro kit | fast.ai lesson 1 | Session 4 |
| 5 | '' | fast.ai lesson 2 | Pytorch Fundamentals, NN in pytorch, multiclass-classification example | Session 5 |
| 6 | '' | fast.ai lesson 3 | Understanding Convolutions, Discussion on the Kaggle competition - Planet:Understanding Amazon from the Space | Session 6 |
| 7 | '' | fast.ai lesson 4 | Rosman Dataset from kaggle & Intro to recommender systems | Session 7 |
| 8 | '' | fast.ai lesson 5 | Collaborative filtering from scratch in pytorch | Session 8 |
| 9 | '' | fast.ai lesson 6 | Revision of embeddings in recommender systems & Pytorch fundamentals | Session 9 |
| 10(Oct) | '' | fast.ai lesson 7 | dynamic routine | Session 10 |
| 11 | '' | fast.ai lesson 8 | dynamic routine | Session 11 |
| 12 | '' | fast.ai lesson 9 | dynamic routine | Session 12 |
| 13 | '' | fast.ai lesson 10 | dynamic routine | Session 13 |
| 14 | '' | fast.ai lesson 11 | projects | Session 14 |
| 15 | '' | fast.ai lesson 12 | projects | Session 15 |
| 16 | '' | fast.ai lesson 13 | projects | Session 16 |
| 17 (Dec) | '' | fast.ai lesson 13 | projects | Session 17 |
| 18 | '' | projects | projects | Session 18 |
*dynamic routine corresponds to activity yet to be updated.