University of Toronto
Applied Deep Learning


Course grade will be made up of: 100% course project


  • Group size: will consist of 1-3 students
  • 15% from project proposal, 25% from presentation, 60% from final report


15% of the project. Due May 28 at 11:59 pm

The proposal should be at most 3 pages, one per group. Clearly state the following:

  • The problem you wish to tackle
  • Description of data you plan to use or create
  • Proposed approach and methods
  • Evaluation plan
  • Timeline
  • What each student in the group will be primarily responsible for

We will provide feedback and grade based on your proposal before the final drop date, as well as run a scoping meeting with each group.


25% of the project.

20 minutes in class on either July 28 or July 30. Be prepared for questions after. Sign up TBD for your timeslot.


60% of the project. Due August 7 at 11:59 pm. Please submit to course director the following:

  • 6 pages (not including references)
  • Github repository
  • Blog posts (optional, but strongly recommended!)


    Project proposals (one per group) May 28 at 11:59 pm
    Project presentation July 28 or July 30 in class
    Project report (one per group) August 7 at 11:59 pm