The schedule is tentative, it will very likely change as we go. Links to the course material will be provided in the schedule below before each class.
The course schedule
| Week | Monday | Wednesday | Friday | |
|---|---|---|---|---|
| 01 | Apr 21 no class |
Apr 23 Introduction, Organization [slides, 8up] |
Apr 25 Recap: math [slides, 8up] |
|
| 02 | Apr 28 Recap: math |
Apr 30 Recap: regression [slides, 8up] |
May 02 Recap: classification / evaluation [slides, 8up] |
|
| 03 | May 05 lab 1 |
May 07 Representing linguistic data [slides, 8up] |
May 09 Learning representations [slides, 8up] |
|
| 04 | May 12 lab 2 |
May 14 Learning representations |
May 16 Gradient descent [slides, 8up] |
|
| 05 | May 19 lab 3 |
May 21 ANNs (1) [slides, 8up] |
May 23 ANNs (2) |
|
| 06 | May 26 lab 4 |
May 28 HMM/CRF [slides, 8up] |
May 23 |
May 30 RNNs [slides, 8up] |
| 07 | Jun 02 lab 5 |
Jun 04 RNNs |
Jun 06 Unsupervised ANNs [slides, 8up] |
|
| Jun 09 |
Jun 11 semester break |
Jun 13 |
||
| 08 | Jun 16 lab 6 |
Jun 18 Recap |
Jun 20 Recap |
|
| 09 | Jun 23 lab 7 |
Jun 25 Language models [slides, 8up] |
Jun 27 Sequence-to-sequence networks [slides, 8up] |
|
| 10 | Jun 30 lab 8 |
Jul 02 Transformer [slides, 8up] |
Jul 04 Transformer LMs |
|
| 11 | Jul 07 lab 9 |
Jul 09 Pretrained LMs |
Jul 11 RL intro |
|
| 12 | Jul 14 lab 10 |
Jul 16 LLMs (1) |
Jul 18 LLMs (2) |
|
| 13 | Jul 21 lab 11 |
Jul 23 Summary / exam discussion |
Jul 25 exam |