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

tensorflow 2.4 #7

Closed
jackyesf opened this issue Mar 14, 2021 · 6 comments
Closed

tensorflow 2.4 #7

jackyesf opened this issue Mar 14, 2021 · 6 comments

Comments

@jackyesf
Copy link

not working on tensorflow 2.4

@Sicily-F
Copy link

hi, have you managed to get it to work yet? i'm interested in trying this net out!

@jackyesf
Copy link
Author

It's working now,but i change a lot and replace sgd-agc by tfa.optimizers.SGDW.

@Sicily-F
Copy link

Sicily-F commented Apr 15, 2021

do you mind me asking if you used flow from directory or flow from dataframe? Would you be able to share your workflow? I'd ideally like to use Adam as an optimiser as I'd like to ensemble models and train on my own data, rather than imagenet

This was referenced Apr 15, 2021
@jackyesf
Copy link
Author

used a data generator from the original data.

@Sicily-F
Copy link

Sicily-F commented Apr 18, 2021

I tried using this image datageneraotr: from tensorflow.keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img ; but it doesn't seem to work with my version of tensorflow; any tips? I'm also using tensorflow 2.4.0

image

@Sicily-F
Copy link

Sicily-F commented May 9, 2021

used a data generator from the original data.

hi there,

Did you get this to work? I read that other people were having a problem with this implementation, largely because it was a Pytorch one for example. I'm looking to try and run a single model in isolation, and then to ensemble it. Any suggestions would be amazing!

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