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schedule [2016/02/22 16:19] anderson [Announcements] |
schedule [2016/12/14 07:49] anderson [Announcements] |
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====== Schedule ====== | ====== Schedule ====== | ||
- | Follow this link to view all [[https:// | ||
===== Announcements ===== | ===== Announcements ===== | ||
- | | + | /* |
+ | **May 9:** At the bottom of this page is a link to a summary of the content expected in your project reports. | ||
+ | |||
+ | **April 29:** My latest neural network code is available at [[http:// | ||
+ | |||
+ | */ | ||
===== January ===== | ===== January ===== | ||
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|< 100% 20% 20% 30% 10% 20% >| | |< 100% 20% 20% 30% 10% 20% >| | ||
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 3:\\ Feb 1 - Feb 5 | Ridge regression. Data partitioning. On-line, incremental regression. Regression with fixed nonlinearities. | + | | Week 3:\\ Feb 1 - Feb 5 | Ridge regression. Data partitioning. On-line, incremental regression. Regression with fixed nonlinearities. |
| Week 4:\\ Feb 8 - Feb 12 | Nonlinear regression with neural networks. | | Week 4:\\ Feb 8 - Feb 12 | Nonlinear regression with neural networks. | ||
- | | Week 5:\\ Feb 15 - Feb 19 | Autoencoders. Recurrent neural networks. | + | | Week 5:\\ Feb 15 - Feb 19 | Autoencoders. Recurrent neural networks. |
- | | Week 6:\\ Feb 22 - Feb 26 | Classification, | + | | Week 6:\\ Feb 22 - Feb 26 | Classification, |
===== March ===== | ===== March ===== | ||
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|< 100% 20% 20% 30% 10% 20% >| | |< 100% 20% 20% 30% 10% 20% >| | ||
^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 7:\\ Feb 29 - Mar 5 | Classification, | + | | Week 7:\\ Feb 29 - Mar 5 | Classification, |
- | | Week 8:\\ Mar 7 - Mar 11 | Classification with neural networks. | + | | Week 8:\\ Mar 7 - Mar 11 | Classification with neural networks. |
| Mar 14 - Mar 18 | Spring Break! | | Mar 14 - Mar 18 | Spring Break! | ||
- | | Week 9:\\ Mar 21 - Mar 25 | Convolutional, | + | | Week 9:\\ Mar 21 - Mar 25 | Bottleneck, and deep networks. |
- | | Week 10:\\ Mar 28 - Apr 1 | Nonparametric methods. | | 8.1-8.10 | | + | | Week 10:\\ Mar 28 - Apr 1 | Convolutional neural nets. Clustering. | [[http:// |
===== April ===== | ===== April ===== | ||
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 11:\\ Apr 4 - Apr 8 | Dimensionality reduction. | + | | Week 11:\\ Apr 4 - Apr 8 | Reinforcement Learning |
- | | Week 12:\\ Apr 11 - Apr 15 | Clustering | + | | Week 12:\\ Apr 11 - Apr 15 | Dimensionality reduction. |
- | | Week 13:\\ Apr 18 - Apr 22 | Support | + | | Week 13:\\ Apr 18 - Apr 22 | Nonparametric methods |
- | | Week 14:\\ Apr 25 - Apr 29 | Reinforcement learning. | + | | Week 14:\\ Apr 25 - Apr 29 | | [[http:// |
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===== May ===== | ===== May ===== | ||
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 15:\\ May 2 - May 6 | Multiple models. | + | | Week 15:\\ May 2 - May 6 | Multiple models.\\ PLEASE ATTEND MAY 6th LECTURE TO FILL OUT THE ASCSU STUDENT COURSE SURVEYS! Distance-section students will be filling out the survey on-line. |
+ | |||
+ | | Week 16:\\ May 10 | Final Project Notebook Due. | | | Check in final project notebook by Tuesday, May 10th, at 10:00 PM. [[Final Project Report|Here is a summary]] of what is expected in your reportsl | ||
+ | |||
+ | Selected Project Reports (in no particular order): | ||
+ | |||
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