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Fall 2019 Electrical Eng/ Computer Science/ Biomedical Engineering E4040 section 001

Call Number 98712
Day & Time
F 10:10am-12:40pm
207 Mathematics Building
Points 3
Grading Mode Standard
Approvals Required Department
Instructor Zoran Kostic - homepage
Method of Instruction Classroom
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 113 students (152 max) as of 7:03PM Thursday, February 20, 2020
Subject Electrical Eng/ Computer Science/ Biomedical Engineering
Number E4040
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20193ECBM4040E001

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SIS update 02/20/20 19:03    web update 02/20/20 21:23