
COMPSCI 182
4 Units
Designing, Visualizing and Understanding Deep Neural Networks
Catalog Course Description
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring Term
1 hours of The exchange of opinions or questions on course material per week and 3 hours of Instructor presentation of course materials per week and 8 hours of Outside Work Hours per week.
Fall Term
1 hours of The exchange of opinions or questions on course material per week and 3 hours of Instructor presentation of course materials per week and 8 hours of Outside Work Hours per week.
COMPSCI C182