Fall 2026 Electrical Eng/ Computer Science/ Biomedical Engineering E4040 section 001

NEURAL NETWRKS & DEEP LEARNING

Call Number 11220
Day, Time & Location View Class Schedule & Location in Vergil
Points 3
Grading Mode Standard
Approvals Required Department
Instructor Zoran Kostic - homepage
Type LECTURE
Method of Instruction In-Person
Course Description

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 28 students (152 max) as of 11:05AM Monday, May 18, 2026
Subject Electrical Eng/ Computer Science/ Biomedical Engineering
Number E4040
Section 001
Division School of Engineering and Applied Science: Graduate
Section key 20263ECBM4040E001