CS 528 - Embedded Systems and Machine Learning

  • 3 credits

Machine learning for embedded computing systems; hardware/software optimizations for machine learning; hardware accelerators for deep learning; data reuse and sharing techniques; memory and network design for machine learning acceleration; processing-in-memory; applications of machine learning in embedded applications.
Junior standing.

Prerequisite

CS 470 (Computer Architecture) with a C or better or ECE 452 (Computer Organization and Architecture) with a C or better.

Loading...
- Footer - Landing