Skip to content
/ DLBD Public

An exploration of deep learning and big data techniques.

License

Notifications You must be signed in to change notification settings

CUFCTL/DLBD

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

58 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Deep Learning-Big Data Creative Inquiry

This repository contains exploratory studies into datasets and deep learning techniques for object detection, segmentation, and many other machine learning applications.

Graduate Team Members: Edwin Weill, Ankit Kulshrestha

Advisor: Dr. Melissa Smith

Previous Graduate Team Members: Jesse Tetreault, Varun Praveen

Getting Started

New team members should look at the Wiki which contains pages detailing preliminary information about deep learning, the Palmetto Cluster, professional document creation, and code sharing.

Results

Autonomous Driving Detection

Label/Barcode Detection

Architectural Diagram

The following is the YOLO architecture:

About

An exploration of deep learning and big data techniques.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •