Tentative Lecture Schedule


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

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