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EE 292D

Machine Learning on Embedded Systems

  • Not Offered

3 units

Letter (ABCD/NP)

This is a project-based class where students will learn how to build modern connected embedded systems that utilize machine learning. The class briefly covers how to create embedded systems to cloud services and dives into details of how to do edge and cloud-based machine learning on time-series and image data.nIn the final project students are expected to produce a working system that improves the state of machine learning on the edge or solves a useful task by combining many different connected components. Prerequisites: CS 107(required), CS 229 (recommended), CS 230 (recommended).

Course Prequisites

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