ENGR-E 533 DEEP LEARNING SYSTEMS (3 CR.)
This course teaches the pipeline for building state-of-the-art deep learning-based intelligent systems. It covers general training mechanisms and acceleration options that use GPU computing libraries and parallelization techniques running on high performance computing systems. The course also aims at deploying the networks to the low-powered hardware systems.
2 classes found
Fall 2024
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 9678 | Open | 9:45 a.m.–11:00 a.m. | TR | I E150 | Ponniah J |
Regular Academic Session / In Person
LEC 9678: Total Seats: 60 / Available: 31 / Waitlisted: 0
Lecture (LEC)
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 9679 | Open | ARR | ARR | WB WEB | Acharya R |
Regular Academic Session / 100% Online All
LEC 9679: Total Seats: 50 / Available: 23 / Waitlisted: 0
Lecture (LEC)
- A portion of above course seats reserved for Data Science MS Online students. Luddy graduate students are given first priority on the waitlist. Please contact the department if you have questions about registering for this course.