New Graduate Course on Deep Learning Hardware

This spring, I will be teaching my new graduate course: ESE 587 Hardware Architectures for Deep Learning. The course focuses on the design and implementation of specialized digital hardware systems for deep learning algorithms. The course will include hands-on FPGA experience with Xilinx Zynq.

A syllabus for the course is available here.


This entry was posted on November 04, 2018.