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====== Schedule ====== | ====== Schedule ====== | ||
- | == January | + | /* |
+ | Follow this link to view all [[https:// | ||
+ | 115b6-e68b-4318-89ff-d1ecf025c0b9|lecture videos]]. | ||
+ | */ | ||
+ | ===== Announcements ===== | ||
- | ^ Week ^ Topic ^ Material | + | /* |
- | | Week 1: Jan 19 - Jan 22 | Overview. | + | |
- | | Week 2: Jan 25 - Jan 29 | | | | + | |
- | == February == | + | **May 9:** At the bottom of this page is a link to a summary of the content expected in your project reports. |
- | ^ Week ^ Topic ^ Reading | + | **April 29:** My latest neural network code is available at [[http:// |
- | | Week 3: Feb 1 - Feb 5 | | | | + | |
- | | Week 4: Feb 8 - Feb 12 | | | | + | |
- | | Week 5: Feb 15 - Feb 19 | | | | + | |
- | | Week 6: Feb 22 - Feb 26 | | | | + | |
- | == March == | + | */ |
+ | ===== January ===== | ||
- | ^ Week ^ Topic ^ Reading | + | |< 100% 20% 20% 30% 10% 20% >| |
- | | Week 7: Feb 29 - Mar 5 | + | ^ Week ^ Topic ^ |
- | | Week 8: Mar 7 - Mar 11 | + | | Week 1:\\ Jan 17 - Jan 20 |
- | | Mar 14 - Mar 18 | + | | Week 2:\\ Jan 25 - Jan 29 |
- | | Week 9: Mar 21 - Mar 25 | + | |
- | | Week 10: Mar 28 - Apr 1 | + | |
- | == April == | + | /* |
- | ^ Week ^ Topic ^ Reading | + | ===== February ===== |
- | | Week 11: Apr 4 - Apr 8 | | | | + | |
- | | Week 12: Apr 11 - Apr 15 | | | | + | |
- | | Week 13: Apr 18 - Apr 22 | | | | + | |
- | | Week 14: Apr 25 - Apr 29 | | | | + | |
- | == May == | + | |< 100% 20% 20% 30% 10% 20% >| |
+ | ^ Week ^ Topic ^ Material | ||
+ | | 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 5:\\ Feb 15 - Feb 19 | Autoencoders. Recurrent neural networks. | ||
+ | | Week 6:\\ Feb 22 - Feb 26 | Classification, | ||
- | ^ Week ^ Topic ^ Reading | + | ===== March ===== |
- | | Week 15: May 2 - May 6 | | | + | |
+ | |< 100% 20% 20% 30% 10% 20% >| | ||
+ | ^ Week ^ Topic ^ | ||
+ | | Week 7:\\ Feb 29 - Mar 5 | Classification, | ||
+ | | Week 8:\\ Mar 7 - Mar 11 | Classification with neural networks. | ||
+ | | Mar 14 - Mar 18 | Spring Break! | ||
+ | | Week 9:\\ Mar 21 - Mar 25 | Bottleneck, and deep networks. | ||
+ | | Week 10:\\ Mar 28 - Apr 1 | Convolutional neural nets. Clustering. | ||
+ | |||
+ | ===== April ===== | ||
+ | |||
+ | |< 100% 20% 20% 30% 10% 20% >| | ||
+ | ^ Week ^ Topic ^ Material | ||
+ | | Week 11:\\ Apr 4 - Apr 8 | Reinforcement Learning | ||
+ | | Week 12:\\ Apr 11 - Apr 15 | Dimensionality reduction. | ||
+ | | Week 13:\\ Apr 18 - Apr 22 | Nonparametric methods | ||
+ | | Week 14:\\ Apr 25 - Apr 29 | | [[http:// | ||
+ | |||
+ | |||
+ | |||
+ | ===== May ===== | ||
+ | |||
+ | |< 100% 20% 20% 30% 10% 20% >| | ||
+ | ^ Week ^ Topic ^ Material | ||
+ | | 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): | ||
+ | |||
+ | * [[http:// | ||
+ | * [[http:// | ||
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+ | |||
+ | */ | ||