Spring 2025

COMPSCI C182 001 - LEC 001

Formerly COMPSCI C182

Designing, Visualizing and Understanding Deep Neural Networks

Anant Sahai

Jan 21, 2025 - May 09, 2025

Mo, We

02:00 pm - 03:29 pm

Soda 306

Class #:32312

Units: 4

Instruction Mode: In-Person Instruction
Time Conflict Enrollment Allowed

Offered through Electrical Engineering and Computer Sciences

Current Enrollment

Total Open Seats: -59

Enrolled: 182

Waitlisted: 0

Capacity: 123

Waitlist Max: 275

No Reserved Seats

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

TUE, MAY 13TH

11:30 am - 02:30 pm

Valley Life Sciences 2050

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Valley Life Sciences 2038

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 for this class but NO alternate final exam will be offered.

* Lecture WILL be recorded for playback later.

* NO alternate final exam will be offered.

* ONLY declared EECS/CS majors can waitlist or enroll - no DS majors will be accep.. show more

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.