COURSE

MICS5730

Machine Learning Accelerators

Function Hub / Microelectronics · 3 Credits

This course is designed to introduce hardware for machine learning to students. It will focus on the basics of deep learning, computations and dataflow of inference and training, hardware accelerator implementations and co-optimization of software and hardware techniques. This course is particularly targeted to help students comprehensively understand the design principles and techniques of hardware accelerators for machine learning systems using state-of-the-art structures (e.g., FPGAs, ASICs, CIM).