Skip to content

Dacrol/PyNotHotdog

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PyNotHotdog

Uses MXNet with a pre-trained model to identify hotdogs via a web interface.
Run with "python web.py", then http://localhost:5000/
Downloads approximately 310 MB of parameter data on first run.

About

Use deep learning to identify hotdogs

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published