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ECE 528 - Embedded Systems and Machine Learning

  • 4 credits
View available sections

Machine learning for embedded systems, edge computing, and Internet of Things (IoT) computing;  hardware/software codesign for machine learning; model compression and optimization; latency and memory optimizations; data reuse and sharing techniques; applications of machine learning in embedded applications, including computer vision, natural language processing, speech processing, video analysis, and anomaly detection; hardware accelerators for deep learning; ethics in machine learning.

Prerequisite

ECE 251 (Introduction to Microcontrollers) or CS 270 (Computer Organization) or equivalent introductory microcontroller or computer architecture course

Textbooks and Materials

Please check the CSU Bookstore for textbook information. Textbook listings are available at the CSU Bookstore about 3 weeks prior to the start of the term.

Instructors

Sudeep Pasricha

9704910254 | Sudeep.Pasricha@colostate.edu