This is a tentative schedule, and it is subject to change.
Refer to the course's Moodle for detailed, up-to-date reading and assignments.
Wk | Date | Class Topic | Project | |
---|---|---|---|---|
1 | 01/14 | Thu | Introduction / Overview | |
2 | 01/19 | Tue | Linear Alegbra, Vectorization | |
01/21 | Thu | |||
3 | 01/26 | Tue | Logistic Regression | |
01/28 | Thu | |||
4 | 02/02 | Tue | Hyperparameter Tuning | |
02/04 | Thu | |||
5 | 02/09 | Tue | Regularization and Normalization | |
02/11 | Thu | |||
6 | 02/16 | Tue | Optimization Algorithms | |
02/18 | Thu | |||
7 | 02/23 | Tue | Batch Normalization | Project Meetings |
02/25 | Thu | |||
8 | 03/02 | Tue | PyTorch | Project Proposals |
03/04 | Thu | |||
9 | 03/09 | Tue | Structuring/Implementing DL Projects | |
03/11 | Thu | |||
10 | 03/16 | Tue | Convolutional Neural Networks (CNNs) | |
03/18 | Thu | |||
11 | 03/23 | Tue | Project milestone 1 | |
03/25 | Thu | |||
12 | 03/30 | Tue | Recurrent Neural Networks (RNNs) & other Sequence Models | |
04/01 | Thu | |||
13 | 04/06 | Tue | Project milestone 2 | |
04/08 | Thu | |||
14 | 04/13 | Tue | Generative Adversarial Networks (GANs) | |
04/15 | Thu | |||
15 | 04/20 | Tue | ||
04/23 | Fri | 10:15am - 12:15 pm — Final Exam Period |