In this course you and your homework teammate will do a substantial project on a topic that is related to deep learning. This project can be: (1) a good implementation and evaluation of a known result, in or (2) a small (but nontrivial) amount of original research.
You will summarize your project results in a written report and an oral presentation. The written report must use a professional writing style similar to that found in an ACM or IEEE journal, including abstract, introduction, summary of related work, your contribution, references, and an appendix (if necessary). The oral presentation will be to the entire class at the end of the semester, during the fourteenth week (April 17–21) and the fifteenth week (April 24–28). You will submit your written report to us no later than 11:59 p.m. on April 26 (the Wednesday before Finals Week). In accordance with UNL policies, you have now been informed in writing of the nature and scope of this project prior to the eighth week of classes.
By 11:59 p.m. on February 26, you and your partner will submit a 3–5 paragraph proposal on your project. You must do this in order to get full credit for your project, and you must get our approval on it before starting the work. We will provide a list of possible topics later this semester, but you may propose your own topic as well. To be a valid topic, it must go beyond the scope of the course. So your project could be on a topic we did not cover in class at all, or could more deeply explore a topic we covered in class.
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Last modified 24 February 2017; please report problems to sscott AT cse.