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NOTE: Course information changes frequently. Please re-visit these pages periodically for the most recent and up-to-date information. | |
Fall 2020 Electrical Eng/ Computer Science/ Biomedical Engineering E4040 section 001 NEURAL NETWRKS & DEEP LEARNING | |
| Call Number | 10599 |
| Day & Time Location |
F 10:10am-12:40pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | Department |
| Instructor | Zoran Kostic - homepage |
| Type | LECTURE |
| Course Description | Prerequisites: (BMEB W4020) or (BMEE E4030) or (ECBM E4090) or (EECS E4750) or (COMS W4771) or equivalent. 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 | 16 students (152 max) as of 4:38PM Thursday, July 2, 2020 |
| Subject | Electrical Eng/ Computer Science/ Biomedical Engineering |
| Number | E4040 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies |
| Campus | Morningside |
| Section key | 20203ECBM4040E001 |
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