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start [2022/09/16 15:22] – [September] anderson | start [2022/11/30 11:06] – [October] anderson | ||
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 1:\\ Aug 23, 256 | 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 | Thursday lecture cancelled. Please watch pre-recorded lecture in Echo360. Quiz1 and A1 questions. Regression with neural networks. | + | | Week 2:\\ Aug 30, Sept 1 | Thursday lecture cancelled. Please watch pre-recorded lecture in Echo360. Quiz1 and A1 questions. Regression with neural networks. |
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 3:\\ Sept 6, 8 | Introduction to Neural Networks | + | | Week 3:\\ Sept 6, 8 | Introduction to Neural Networks |
- | | Week 4:\\ Sept 13, 15\\ <color red> | + | | Week 4:\\ Sept 13, 15\\ |
- | | Week 5:\\ Sept 20, 22 | Autoencoders. Classification. | [[http://nbviewer.ipython.org/ | + | | Week 5:\\ Sept 20, 22 | Optimizers. |
- | | Week 6:\\ Sept 27, 29 | | + | | Week 6:\\ Sept 27, 29 | A3. Classification |
===== October ===== | ===== October ===== | ||
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^ 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 ===== | ||
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^ 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. Linear dimensionality reduction. | [[https:// |
- | | Week 13:\\ Nov 15, 17 | K-means clustering. K-nearest-neighbor classification. Support Vector Machines. | + | | Week 13:\\ Nov 15, 17 | Recurrent neural networks. |
- | | Week 14:\\ Nov 29, Dec 1 | Introduction to Transformers | + | | Fall Break:\\ Nov 21-25 | |
+ | | Week 14: | ||
===== December ===== | ===== December ===== | ||
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 15:\\ Dec 6, 8 | Transformers: Self-Attention Replaced by Fourier Transform.\\ Cascade Ensemble Network | + | | Week 15:\\ Dec 6, 8 | GTA Saira Jabeen summarizes her research. Introduction to Transformers |
- | | Dec 12-16 | + | | Dec 12-16 | Final Exam Week | No Exams in this course |
start.txt · Last modified: 2024/05/20 17:22 by 127.0.0.1