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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course 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 ONLINE ONLY |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | Department |
| Instructor | Zoran Kostic - homepage |
| Type | LECTURE |
| Method of Instruction | On-Line Only |
| 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 | 92 students (152 max) as of 2:12PM Saturday, February 27, 2021 |
| Subject | Electrical Eng/ Computer Science/ Biomedical Engineering |
| Number | E4040 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Campus | Morningside |
| Section key | 20203ECBM4040E001 |
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