Course Project
The goal of the course project is to apply deep learning techniques learned in class (it is fine if you use the techniques not introduced in class) to solve real-world problems or develop new deep learning techniques. You are expected to work in teams and learn to collaborate with your teammates. Each group should make a poster in the final class and participate in the poster session to present your results and communicate with other teams. A report should also be submitted at the end of the course.
Full instruction can be found here (Eng & Fr).
The GCP tutorial can be found here (Eng).
Guidelines
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The project proposal is a summary of your proposed research topic and study plan. It should include the background of the problem (context and motivation), problem definition, and a plan on how you want to study it. The project proposal should be at most 2 pages.
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The suggested poster size is 36W x 48H inches or 90 x 122 cm. Some examples of posters in conferences are available here.
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The final report should give a comprehensive description of your projects. It should contain a section about the motivation and definition of your selected topics, a section summarizing the related work, a section on the techniques you used for solving the problem, an empirical section presenting your data sets and results with detailed analysis, and a conclusion section. The report should be at most 8 pages (not including references) using the NeurIPS format. The final report should be submitted in pdf format.
Presentation
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You will be using Gather Town for your poster presentation.
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We created a space here, and you will upload your project poster (in groups).
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Here is a PDF tutorial and a 1-min video tutorial. The video might be outdated with an old Gather Town version, yet the high-level operations are the same.
Schedule
TBA