Hardware implementation of re-configurable Restricted Boltzmann Machines for image recognition

Hardware implementation of re-configurable Restricted Boltzmann Machines for image recognition

The Internet of Things (IoTs) has triggered rapid advances in sensors, surveillance devices, wearables and body area networks with advanced Human-Computer Interfaces (HCI). Neural Networks optimized algorithmically for high accuracy and high representation power are very deep and require tremendous...

Full description

Bibliographic Details
Main Author: Desai, Soham Jayesh
Other Authors: Raychowdhury, Arijit
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2015
Subjects:
Restricted Boltzmann Machines
Re-configurable hardware
Neural processing cores
Image recognition
Low power sensing
Body-worn cameras
Cascaded classifiers
Posture detection
Online Access:http://hdl.handle.net/1853/53548

Internet

http://hdl.handle.net/1853/53548

Similar Items