Skip to content

Creating a model for image processing using the Cifar-10 image set to compare with using the pre-built model "VGG16" utilizing transfer learning.

Notifications You must be signed in to change notification settings

KyleNThao/Cifar_Transfer_learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 

Repository files navigation

About

Utilizing the image set Cifar-10 and transfer learning, a model that is trained on classification image processing is compared to the pre-built CNN model VGG16.

Viewing

This project was done in Python notebook and can be viewed alternatively in Jupyter's nbviewer for the best results.

Link to this project's nbviewer

Data and Assets

To learn more about Cifar-10 and to download the dataset:

Click here

About

Creating a model for image processing using the Cifar-10 image set to compare with using the pre-built model "VGG16" utilizing transfer learning.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published