Bi-weekly machine learning book club, reading the Deep Learning book by Ian Goodfellow.
- We read Ian Goodfellow's book. The idea is to cover a chapter in each meeting (or at least half). We could also read chapters from Yoav Goldberg's book on neural nets because it focuses on NLP applications.
- The meetings are bi-weekly, 2h slots.
- If you wish to attend, please make sure that you have read and tried to understand the chapter in advance.
- The reading material for the next meeting is announced at the end of the most recent meeting.
| Chapter | Moderator | Date | Room |
|---|---|---|---|
| Ch 2: Linear Algebra | George C | 15:00, 06 Nov 19 | G12-Blue |
| Ch 3: Probability and Information Theory | Peter V | 15:00, 20 Nov 19 | G12-Blue |
| Ch 4: Numerical Computation | Mali | 15:00, 4 Dec 19 | G12-Blue |
| Ch 5: Machine Learning Basics | Yida | 14:00, 24 Jan 20 | G12-Blue |
| Ch 5: Machine Learning Basics | Yida | 14:00, 07 Feb 20 | G12-Blue |
| Ch 5: Machine Learning Basics cont 5.6 | Katerina | 14:00, 21 Feb 20 | G12-Blue |
| Ch 6: Deep Feedforward Networks | Iknoor | 14:00, 06 Mar 20 | G12-Blue |
| Ch 6: Deep Feedforward Networks cont 6.3 | Iknoor | 14:00, 03 Apr 20 | Hangout Link |
| Ch 7: Regularization for Deep Learning | Katerina | 14:00, 24 Apr 20 | |
| Ch 7: Regularization for Deep Learning cont. 7.9 | Katerina | 14:00, 15 May 20 |