This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision | ||
start [2021/12/02 09:20] anderson |
start [2022/03/10 13:55] (current) |
||
---|---|---|---|
Line 1: | Line 1: | ||
- | ====== Schedule ====== | + | The schedule for Fall 2022 is being developed |
- | /*** | + | |
- | + | ||
- | Links to MS Teams Events: | + | |
- | - Lectures: [[https:// | + | |
- | - Office Hours with Chuck: [[https:// | + | |
- | - Office Hours with Dejan: [[https:// | + | |
- | + | ||
- | + | ||
- | Lecture videos are available from the [[https:// | + | |
- | + | ||
- | ***/ | + | |
- | + | ||
- | /*** | + | |
- | + | ||
- | To use jupyter notebooks on our CS department machines, you must add this line to your .bashrc file: | + | |
- | + | ||
- | export PATH=/ | + | |
- | + | ||
- | ***/ | + | |
- | + | ||
- | This tentative schedule | + | |
- | + | ||
- | + | ||
- | ===== August ===== | + | |
- | + | ||
- | |< 100% 18% 20% 22% 20% 20% >| | + | |
- | ^ Week ^ Topic ^ Material | + | |
- | | Week 1:\\ Aug 24, 26 | Overview of course. Review of neural networks training and use. | [[http:// | + | |
- | | Week 2:\\ Aug 31, Sept 2 | Regression with neural networks. | + | |
- | + | ||
- | + | ||
- | ===== September ===== | + | |
- | + | ||
- | |< 100% 18% 20% 22% 20% 20% >| | + | |
- | ^ Week ^ Topic ^ Material | + | |
- | | Week 3:\\ Sept 7, 9 | A1 questions. Optimizers. Neural Network class. | + | |
- | | Week 4:\\ Sept 14, 16 | A2. Autoencoders. Classification. | + | |
- | | Week 5:\\ Sept 21, 23 | A2 questions. Classification. | + | |
- | | Week 6:\\ Sept 28, 30 | Lectures and Chuck' | + | |
- | + | ||
- | ===== October ===== | + | |
- | + | ||
- | |< 100% 18% 20% 22% 20% 20% >| | + | |
- | ^ Week ^ Topic ^ Material | + | |
- | | Week 7:\\ Oct 5, 7 | Convolutional neural networks. | + | |
- | | Week 8:\\ Oct 12, 14 | Pytorch. Convolutional neural nets | [[http:// | + | |
- | | Week 9:\\ Oct 19, 21 | Reinforcement Learning | + | |
- | | Week 10:\\ Oct 26, 28 | Reinforcement Learning\\ Oct 28 in-person lecture and office hours are <color red> | + | |
- | + | ||
- | ===== November ===== | + | |
- | + | ||
- | |< 100% 18% 20% 22% 20% 20% >| | + | |
- | ^ Week ^ Topic ^ Material | + | |
- | | Week 11:\\ Nov 2, 4 | Transfer learning in Reinforcement Learning.\\ Brain-Computer Interfaces | + | |
- | | Week 12:\\ Nov 9, 11 | BCI. Recurrent Neural Networks. | [[http:// | + | |
- | | Week 13:\\ Nov 16, 18 | K-means clustering. K-nearest-neighbor classification. Support Vector Machines. | + | |
- | | Nov 23, 25 | Fall Recess !! | | + | |
- | | Week 14:\\ Nov 30, Dec 2 | Introduction to Transformers | + | |
- | + | ||
- | ===== December ===== | + | |
- | + | ||
- | |< 100% 18% 20% 22% 20% 20% >| | + | |
- | ^ Week ^ Topic ^ Material | + | |
- | | Week 15:\\ Dec 7, 9 | | | + | |
- | | Dec 13-17 | Final Exam Week | No Exams in this course | + | |