Spring 2022
COMPSCI 282A 001 - LEC 001
Designing, Visualizing and Understanding Deep Neural Networks
Marvin M Zhang
Class #:28312
Units: 4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
3
Enrolled: 67
Waitlisted: 0
Capacity: 70
Waitlist Max: 100
Open Reserved Seats:
11 reserved for Students not in the Master of Engineering Program
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.
Final Exam
FRI, MAY 13TH
03:00 pm - 06:00 pm
Other classes by Marvin M Zhang
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
* Lecture will be webcast for playback later.
* Time conflicts ARE allowed.
* 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:
11 reserved for Students not in the Master of Engineering Program
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials