CS W182 / 282A

CS W182 / 282A at UC Berkeley

Designing, Visualizing and Understanding Deep Neural Networks

Lectures: M/W 5:30-7 p.m., via Zoom.

Instructor Sergey Levine


Office Hours: Mo/We 6:30pm-7:00pm.

Head uGSI Brandon Trabucco


Office Hours: Th 10:00am-12:00pm

Discussion(s): Fr 1:00pm-2:00pm

For publicly viewable lecture recordings, see this playlist. This link is not intended for students taking the course. Students enrolled in CS182 should instead use the internal class playlist link.

Week 1 Overview

Introduction & Logistics

Week 3 Overview

Optimization & Backpropagation

Week 13 Overview

Guest Lectures

Week 14 Overview

Guest Lectures

  • Lecture 24: Guest Lecture.
  • Lecture 25: Guest Lecture.


The discussion sections will not cover new material, but rather will give you additional practice solving problems. You can attend any discussion section you like. However, if there are less crowded sections that fit your schedule, those offer more opportunities for you to interact with your TA. See Syllabus for more information.



All homeworks are graded for accuracy and it is highly-recommended that you do them. You are given a total of 5 slip days for use only on homeworks. These slip days are intended for emergency use, and as such we employ a strict late policy. There is no additional slack beyond slip days available. See Syllabus for more information.


Lecture Slides

Lecture videos are provided via the course Piazza. See Syllabus for more information.