Spring 2025 Electrical Eng/ Computer Science/ Biomedical Engineering E4040 section 001

NEURAL NETWRKS & DEEP LEARNING

NEURAL NETWRKS & DEEP LEA

Call Number 13609
Day & Time
Location
TR 10:10am-11:25am
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Micah Goldblum
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 5 students (80 max) as of 9:14PM Wednesday, November 20, 2024
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
Section key 20251ECBM4040E001