Spring 2020
COMPSCI 282A 001 - LEC 001
Designing, Visualizing and Understanding Deep Neural Networks
John F Canny
Jan 21, 2020 - May 08, 2020
12:00 am
Class #:32718
Units: 4
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
0
Enrolled:
Waitlisted:
Capacity:
Waitlist Max:
No Reserved Seats
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 John F Canny
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
* This class is combined with CS W182.
* The lecture for this class will be only be available via webcast.
* Time conflicts with this class WILL be allowed by the Computer Science department. NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or pro.. show more
* The lecture for this class will be only be available via webcast.
* Time conflicts with this class WILL be allowed by the Computer Science department. NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or pro.. show more
* This class is combined with CS W182.
* The lecture for this class will be only be available via webcast.
* Time conflicts with this class WILL be allowed by the Computer Science department. NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or project due dates.
* This class uses 999 sections. In addition to the lecture, you must in enroll in DIS 999 to enroll in the course. Selection and assignment into the actual discussions happen outside of CalCentral. Instructors will provide more information during the first lecture.
* More information on class website: https://bcourses.berkeley.edu/courses/1487769 show less
* The lecture for this class will be only be available via webcast.
* Time conflicts with this class WILL be allowed by the Computer Science department. NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or project due dates.
* This class uses 999 sections. In addition to the lecture, you must in enroll in DIS 999 to enroll in the course. Selection and assignment into the actual discussions happen outside of CalCentral. Instructors will provide more information during the first lecture.
* More information on class website: https://bcourses.berkeley.edu/courses/1487769 show less
Rules & Requirements
Requisites
- Students not in the Master of Engineering Program
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats