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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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SIS update 07/02/20 16:38    web update 07/02/20 17:19