Spring 2021

COMPSCI W182 001 - WBL 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 #:29224

Units: 4

Instruction Mode: Web-Based Instruction
Time Conflict Enrollment Allowed

Offered through Electrical Engineering and Computer Sciences

Current Enrollment

Total Open Seats: 8

Enrolled: 418

Waitlisted: 0

Capacity: 426

Waitlist Max: 250

No Reserved Seats

3 hours of web-based or technologically-mediated activities replacing standard lectures (effective fall 2006) per week, 1 hours of the exchange of opinions or questions on course material per week, and 8 hours of outside work hours per week.

Other classes by Sergey Levine

COMPSCI 282A 001 001LEC

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.

* Lectures will be synchronous.

* This class uses 999 sections. In addition to the lecture, you must enroll in DIS 999 to enroll in the course. Selection and assignment into the actual discussions happen outside of CalCentral.

Rules & Requirements

Requisites

Undergraduate Students - Excludes Visiting Students

Credit Restrictions

Students will receive no credit for COMPSCI W182 after completing COMPSCI 182, or COMPSCI L182. A deficient grade in COMPSCI W182 may be removed by taking COMPSCI 182, or COMPSCI L182.