NOTE: the schedule is tentative and will change depending on the progress.
Check back often.
Date (Monday) | Topics | Date (Wednesday) | Topics |
1/15 | MLK Holiday | 1/17 | Syllabus + Overview |
1/22 | Feature detction and description | 1/24 | Image stitching |
1/29 | Image stitching | 1/31 | Overview of Machine learning |
2/5 | Overview of machine learning (with topics drawn from Discriminant analysis SVM Decision Trees ) | 2/7 | Overview of NN (with topics drawn from Overview of NN 1-layer NN Multi-layer NN) |
2/12 | Overview of NN (with topics drawn from Overview of NN 1-layer NN Multi-layer NN) | 2/14 | Deep learning |
2/19 | Presidents' day | 2/21 | General code structures for 2nd assignment sample codes: no warranty whatever :-) CNN FNN Utility |
2/26 | Classification, Localization and detection (Guest lecturer: Da Zhang) | 2/28 | RNN (Guest lecturer: Da Zhang) |
3/5 | Visual Captioning (Guest lecturer: Xin Wang) | 3/7 | Reinforcement Learning (Guest lecturer: Xin Wang) |
3/12 | Dead week (no class, move to 3/19 project presentation and demos) | 3/14 | Dead week (no class, move to 3/21 project presentation and demos) |
3/19 | Final Project Presentation | 3/21 | Final Project Presentation |