| Call Number | 11297 |
|---|---|
| Day & Time Location |
F 10:10am-12:40pm 207 Mathematics Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | Department |
| Instructor | Zoran Kostic - homepage |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Developing features - internal representations of the world, artificial neural networks, classifying handwritten digits with logistics regression, feedforward deep networks, back propagation in multilayer perceptrons, regularization of deep or distributed models, optimization for training deep models, convolutional neural networks, recurrent and recursive neural networks, deep learning in speech and object recognition. |
| Web Site | Vergil |
| Department | Electrical Engineering |
| Enrollment | 114 students (152 max) as of 9:05AM Saturday, May 10, 2025 |
| Subject | Electrical Eng/ Computer Science/ Biomedical Engineering |
| Number | E4040 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Section key | 20243ECBM4040E001 |