Graduate versions of the Deep Learning course include a substantial hands-on project element. In 11-785, you are welcome to propose your own project; the suggested initiatives below are starting points. Depending on the course code you are registered for, your project requirements and format vary:
A fully student-defined open research project. You may choose your own topic and form teams of up to 4 to design, implement, and benchmark an original deep learning system or perform a thorough, state-of-the-art reproduction study.
A highly mentored, structured project pathway. Ideal for students seeking closer guidance on constructing end-to-end deep learning pipelines.
Looking for a course project idea? These initiatives are starting points for deep learning research. You are free to propose a project of your own. Browse the initiatives below if helpful, then use the application form to register your chosen project.
You have prioritized the following topics. Once you have built your draft list, click the Apply for Selected Projects button at the bottom of the list. It will copy your selected project titles to your clipboard and open the application form in a new tab so you can easily paste them!
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Use this form to register your project, team members, and project category for 11-785 or 11-685. For 11-785, your project can be a student-proposed idea or one of the optional initiatives listed above.
Explore a curated list of exceptionally successful, high-impact student projects from previous semesters of 11-785. These serve as benchmark representations of expected scope, quality, and scientific rigor.
Browse the archived top 25 projects and their submitted reports.
Browse the complete Fall 2020 collection of projects and reports.
Browse all Spring 2024 project submissions and reports.
Browse all Fall 2024 project submissions and reports.
Browse all Spring 2025 project submissions and reports.