Spring 2021
COMPSCI 282A 001 - LEC 001
Designing, Visualizing and Understanding Deep Neural Networks
Sergey Levine
Jan 19, 2021 - May 07, 2021
Mo, We
05:30 pm - 06:59 pm
Internet/Online
Class #:26986
Units: 4
Instruction Mode:
Pending Review
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
16
Enrolled: 58
Waitlisted: 0
Capacity: 74
Waitlist Max: 65
Open Reserved Seats:
2 unreserved seats
14 reserved for Computer Science and Electrical Engineering and Computer Sciences Graduate Students
Hours & Workload
3 hours of instructor presentation of course materials per week, 8 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.
Other classes by Sergey Levine
Course Catalog 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.
Class Notes
* Time conflicts ARE allowed.
Rules & Requirements
Requisites
- Students not in the Master of Engineering Program
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
Open Reserved Seats:
2 unreserved seats
14 reserved for Computer Science and Electrical Engineering and Computer Sciences Graduate Students
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials