Directory of Classes

NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Spring 2021 Electrical Eng/ Computer Science/ Biomedical Engineering E4040 section V01
NEURAL NETWRKS & DEEP LEARNING

Call Number 17830
Points 3
Grading Mode Standard
Approvals Required None
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 Video Network
Enrollment 3 students (99 max) as of 8:04PM Friday, April 9, 2021
Subject Electrical Eng/ Computer Science/ Biomedical Engineering
Number E4040
Section V01
Division School of Engineering and Applied Science: Graduate
Open To Columbia Video Network
Campus Video Network
Fee $395 CVN Course Fee
Note VIDEO NETWORK STUDENTS ONLY
Section key 20211ECBM4040EV01

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SIS update 04/09/21 20:04    web update 04/09/21 21:23