Design of a Scalable, Configurable, and Cluster-based Hierarchical Hardware Accelerator for a Cortically Inspired Algorithm and Recurrent Neural Networks.

Show full item record

Title: Design of a Scalable, Configurable, and Cluster-based Hierarchical Hardware Accelerator for a Cortically Inspired Algorithm and Recurrent Neural Networks.
Author: Dey, Sumon
Advisors: Paul Franzon, Chair
Winser Alexander, Member
Eric Laber, Graduate School Representative
Dror Baron, Member
Eric Laber, Member
Date: 2018-11-13
Degree: Doctor of Philosophy
Discipline: Computer Engineering
URI: http://www.lib.ncsu.edu/resolver/1840.20/36944


Files in this item

Files Size Format View
etd.pdf 652.4Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record