| Call Number | 13783 |
|---|---|
| Day & Time Location |
R 6:45pm-7:45pm To be announced |
| Points | 1 |
| Grading Mode | Pass/Fail |
| Approvals Required | None |
| Instructor | Ka-Yi Ng |
| Type | LABORATORY |
| Method of Instruction | In-Person |
| Course Description | This course is an optional companion lab course for GR5242 Advanced Machine Learning. The aim of this course is to help students acquire the basic computational skills in a python-based Deep Learning library (such as Troch, TensorFlow) to implement deep learning models. lab class materials will be aligned closely with the topics covered in GR5242. Google Colab will be used as the main tools for the hands-on lab exercises. |
| Web Site | Vergil |
| Department | Statistics |
| Enrollment | 27 students (86 max) as of 5:06PM Tuesday, April 22, 2025 |
| Subject | Statistics |
| Number | GR5245 |
| Section | 002 |
| Division | Interfaculty |
| Open To | GSAS |
| Note | STAT MA students only. |
| Section key | 20253STAT5245G002 |