This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
start [2017/02/20 08:59] anderson [February] |
start [2017/03/01 08:43] 127.0.0.1 external edit |
||
---|---|---|---|
Line 7: | Line 7: | ||
===== Announcements ===== | ===== Announcements ===== | ||
- | **Feb 19:** The links in A3 for nnA3.tar and A3grader.tar now work. | + | **Feb 28:** In A3, my sample output had incorrect validation errors. The grading script didn't tell you they were wrong, but your values probably did not exactly match mine. |
+ | |||
+ | **Feb 27:** In the Schedule next to the A2 assignment you will find a link to good examples of reports submitted for A2. | ||
Lecture videos are available at this [[https:// | Lecture videos are available at this [[https:// | ||
Line 26: | Line 28: | ||
| Week 3:\\ Jan 30 - Feb 3 | Probabilistic Linear Regression. Ridge regression. Data partitioning. On-line, incremental regression. | | Week 3:\\ Jan 30 - Feb 3 | Probabilistic Linear Regression. Ridge regression. Data partitioning. On-line, incremental regression. | ||
| Week 4:\\ Feb 6 - Feb 10 | Regression with fixed nonlinearities. Nonlinear regression with neural networks.\\ Feb 10: Guest Speaker [[https:// | | Week 4:\\ Feb 6 - Feb 10 | Regression with fixed nonlinearities. Nonlinear regression with neural networks.\\ Feb 10: Guest Speaker [[https:// | ||
- | | Week 5:\\ Feb 13 - Feb 17 | Neural Networks | + | | Week 5:\\ Feb 13 - Feb 17 | Neural Networks |
- | | Week 6:\\ Feb 20 - Feb 24 | Neural Networks. Autoencoders. Guest lectures by our GTA, Jake Lee. | [[http:// | + | | Week 6:\\ Feb 20 - Feb 24 | Neural Networks. Autoencoders. Guest lectures by our GTA, Jake Lee. | [[http:// |
- | | Week 7:\\ Feb 27 - Mar 3 | | | + | | Week 7:\\ Feb 27 - Mar 3 | Recurrent Neural Networks. |