DEEP Learning

Online Exams and Proctoring

Tests for this course will be administered by the Triton Testing Center (TTC) in the Computer-Based Testing Facility in AP&M B349 and B432. The TTC’s rules concerning testing are the rules for this course.

You must schedule your tests in advance, and it is recommended that you do so as soon as possible. Scheduling for all tests opens on the first day of instruction. To schedule, visit prairietest.com and log in with your UC San Diego credentials. More information about testing policies and procedures can be found on the TTC’s website. You may also email tritontesting@ucsd.edu for assistance.

FOR STUDENTS WITH OSD APPROVED ACCOMMODATIONS ONLY If you will be utilizing accommodations for your test, you will take it at the TTC’s Pepper Canyon Hall location. You must schedule your test at least three days in advance through the RegisterBlast system. RegisterBlast scheduling is to be done ONLY by students with OSD-approved accommodations. Tests scheduled via RegisterBlast without accommodations will be cancelled.

Week 1 (Mar 31/Apr 2)                               Introduction and Background                                             

Week 2 (Apr 7/Apr 9)                                   Multi-layer perceptron                                                  Apr 9: HW 1 release

Week 3  (Apr 14/Apr 16)                              Deep learning Implementation                                           

Week 4  (Apr 21/Apr 23)                               Convolutional neural network                             Apri 23:HW 2 release

Week 5  (Apr 28/Apr 30)                               Recurrent neural network                                    May 3: Milestone report due

    Week 6 (May 5/May 7)                                       Mid-term week                                                    May 5: Midterm
May 7: HW3 release

    Week 7 (May 12/May 14)                                  Attention and Transformer                                      

    Week 8 (May 19/May 21)                                    Deep learning Theory                                                         

    Week 9 (May 26/May 28)                                    Deep learning Applications                 May 31: Final presentation due

    Week 10 (Jun 2/Jun 4)                                          Presentation week                                                    

    Exam Week (Jun 6)                                           No exam           Jun12: Final Report Due

• 30 % homework (10% x 3)

• 45 % Kaggle competition 

  • 10 % milestone report

  • 15 % final report 

  • 10 % final presentation

  • 10 % competition ranking

• 25 % Mid-term exam