Architecture design for highly flexible and energy-efficient deep neural network accelerators

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.

Bibliographic Details
Main Author:	Chen, Yu-Hsin, Ph. D. Massachusetts Institute of Technology
Other Authors:	Vivienne Sze and Joel Emer.
Format:	Thesis
Language:	eng
Published:	Massachusetts Institute of Technology 2018
Subjects:	Electrical Engineering and Computer Science.
Online Access:	http://hdl.handle.net/1721.1/117838

Internet

http://hdl.handle.net/1721.1/117838