Course Schedule and Catalog
Course Schedule - Fall Semester 2020
ELEC 515 002 (CRN: 15957)
EMBEDDED MACHINE LEARNING
Long Title: MACHINE LEARNING FOR RESOURCE-CONSTRAINED PLATFORMS
Department: Electrical & Computer Eng.
Instructor: Lin, Yingyan
Meeting: 11:20AM - 12:40PM TR FULLY ONLINE (24-AUG-2020 - 4-DEC-2020)
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 29
Section Enrolled: 18
Enrollment data as of: 3-OCT-2023 7:58PM
Final Exam: GR Course-Dept Schedules Exam
Description: Machine learning is in tremendous demand in numerous applications; however, its often prohibitive complexity remains a major challenge for its extensive deployment in resource constrained platforms. This course will introduce techniques which enable the development of energy/time efficient machine learning systems, taking a path from algorithm to architecture down to the circuit level. In particular, you will first learn commonly used machine learning algorithms, and then algorithm-, architecture-, circuit-level techniques for reducing the energy/time cost of machine learning systems while maintaining their powerful performance. Finally, we will do a deep dive into state-of-the-art efficient machine learning systems, such as Google's TPU and Eyeriss.