Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Feature request] Add documentation on the functional differences between the available pretrained models #5

Open
LexCybermac opened this issue Mar 22, 2020 · 1 comment

Comments

@LexCybermac
Copy link

As it stands there 6 pre-trained models availible for fine tuning:

  • MobileNetV2
  • InceptionV3
  • VGG16
  • VGG19
  • NASNetMobile
  • SimpleCnnModel

It is not however from that which I can see communicated within the webUI what the functional differences between these are, while broad inferences can be made based on the names there is possibly room for clearer communication of the pros and cons of each model.

@LexCybermac LexCybermac changed the title Add documentation on the functional differences between the available pretrained models [Feature request] Add documentation on the functional differences between the available pretrained models Mar 22, 2020
@mustafamerttunali
Copy link
Owner

As it stands there 6 pre-trained models availible for fine tuning:

  • MobileNetV2
  • InceptionV3
  • VGG16
  • VGG19
  • NASNetMobile
  • SimpleCnnModel

It is not however from that which I can see communicated within the webUI what the functional differences between these are, while broad inferences can be made based on the names there is possibly room for clearer communication of the pros and cons of each model.

Hi LexCybermac,

Thanks for the feature request. I'm working on a different project right now but I will add what you say as soon as.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants