Spring 2023

COMPSCI 182 001 - LEC 001

Formerly COMPSCI C182

Designing, Visualizing and Understanding Deep Neural Networks

Anant Sahai

Jan 17, 2023 - May 05, 2023

Mo, Fr

09:00 am - 10:29 am

Soda 306

Class #:26297

Units: 4

Instruction Mode: In-Person Instruction
Time Conflict Enrollment Allowed

Offered through Electrical Engineering and Computer Sciences

Current Enrollment

Total Open Seats: 137

Enrolled: 214

Waitlisted: 0

Capacity: 351

Waitlist Max: 350

Open Reserved Seats:0

Hours & Workload

1 hours of the exchange of opinions or questions on course material per week, 3 hours of instructor presentation of course materials per week, and 8 hours of outside work hours per week.

Final Exam

MON, MAY 8TH

07:00 pm - 10:00 pm

Pimentel 1

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.

Rules & Requirements

Requisites

Undergraduate Students: College of Engineering declared majors and L&S Computer Science

Credit Restrictions

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