start
Differences
This shows you the differences between two versions of the page.
Next revision | Previous revisionNext revisionBoth sides next revision | ||
start [2022/08/05 10:21] – created - external edit 127.0.0.1 | start [2022/10/31 12:54] – anderson | ||
---|---|---|---|
Line 8: | Line 8: | ||
The following schedule is **tentative and is being updated**. | The following schedule is **tentative and is being updated**. | ||
+ | |||
+ | Please send your suggestions regarding lecture topics to Chuck using [[https:// | ||
===== August ===== | ===== August ===== | ||
Line 13: | Line 15: | ||
|< 100% 18% 20% 22% 20% 20% >| | |< 100% 18% 20% 22% 20% 20% >| | ||
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 1:\\ Aug 23, 25 | Overview of course. Review of neural networks training and use. | [[http://nbviewer.ipython.org/ | + | | Week 1:\\ Aug 23, 256 | Overview of course. Review of neural networks training and use. | [[https:// |
- | | Week 2:\\ Aug 30, Sept 1 | Regression with neural networks. | + | | Week 2:\\ Aug 30, Sept 1 | Thursday lecture cancelled. Please watch pre-recorded lecture in Echo360. Quiz1 and A1 questions. |
Line 21: | Line 23: | ||
|< 100% 18% 20% 22% 20% 20% >| | |< 100% 18% 20% 22% 20% 20% >| | ||
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 3:\\ Sept 6, 8 | A1 questions. Optimizers. Neural | + | | Week 3:\\ Sept 6, 8 | Introduction to Neural Networks |
- | | Week 4:\\ Sept 13, 15 | A2. Autoencoders. Classification. | + | | Week 4:\\ Sept 13, 15\\ | |
- | | Week 5:\\ Sept 20, 22 | Classification. | [[http://nbviewer.ipython.org/ | + | | Week 5:\\ Sept 20, 22 | Optimizers. Autoencoders. | [[https:// |
- | | Week 6:\\ Sept 27, 29 | | + | | Week 6:\\ Sept 27, 29 | A3. Classification |
===== October ===== | ===== October ===== | ||
Line 30: | Line 32: | ||
|< 100% 18% 20% 22% 20% 20% >| | |< 100% 18% 20% 22% 20% 20% >| | ||
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 7:\\ Oct 4, 6 | Convolutional neural networks. | + | | Week 7:\\ Oct 4, 6 | Classification. |
- | | Week 8:\\ Oct 11, 13 | Pytorch. Convolutional neural nets | [[http://nbviewer.ipython.org/ | + | | Week 8:\\ Oct 11, 13 | Pytorch. Convolutional neural nets | [[https:// |
- | | Week 9:\\ Oct 18, 20 | Reinforcement | + | | Week 9:\\ Oct 18, 20 | Convolutional Neural Nets in Pytorch. |
- | | Week 10:\\ Oct 25, 27 | Reinforcement Learning | + | | Week 10:\\ Oct 25, 27 | Reinforcement Learning |
===== November ===== | ===== November ===== | ||
Line 39: | Line 41: | ||
|< 100% 18% 20% 22% 20% 20% >| | |< 100% 18% 20% 22% 20% 20% >| | ||
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 11:\\ Nov 1, 3 | Transfer learning in Reinforcement Learning.\\ | + | | Week 11:\\ Nov 1, 3 | Reinforcement Learning for control dynamical systems. |
- | | Week 12:\\ Nov 8, 10 | BCI. Recurrent Neural Networks. | [[http://nbviewer.ipython.org/ | + | | Week 12:\\ Nov 8, 10 | Brain-Computer Interfaces. Recurrent Neural Networks. | [[https:// |
- | | Week 13:\\ Nov 15, 17 | K-means clustering. K-nearest-neighbor classification. Support Vector Machines. | + | | Week 13:\\ Nov 15, 17 | K-means clustering. K-nearest-neighbor classification. Support Vector Machines. |
- | | Week 14:\\ Nov 29, Dec 1 | Introduction to Transformers | + | | Week 14:\\ Nov 29, Dec 1 | Introduction to Transformers |
===== December ===== | ===== December ===== | ||
Line 48: | Line 50: | ||
|< 100% 18% 20% 22% 20% 20% >| | |< 100% 18% 20% 22% 20% 20% >| | ||
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 15:\\ Dec 6, 8 | Transformers: | + | | Week 15:\\ Dec 6, 8 | Transformers: |
| Dec 12-16 | Final Exam Week | No Exams in this course | | Dec 12-16 | Final Exam Week | No Exams in this course | ||
start.txt · Last modified: 2024/09/24 09:56 by 127.0.0.1