Date of Degree

2012

Document Type

thesis

Degree Name

MS (Master of Science)

Department

Electrical and Computer Engineering

First Advisor

Tom Schnell

Abstract

Image recognition and classification is one of the primary challenges of the machine learning community. Recent advances in learning systems, coupled with hardware developments have enabled general object recognition systems to be learned on home computers with graphics processing units. Presented is a Deep Belief Network engineered using NVIDIA's CUDA programming language for general object recognition tasks.

Pages

vii, 170

Bibliography

61-62

Copyright

Copyright 2012 Sean Parker