-
Notifications
You must be signed in to change notification settings - Fork 253
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
problem in finetune stage #12
Comments
hi, i use your code to train my own model, but in funtune stage i set train_bn=False, the training loss began to increase rapidly and then decrese very slowly. and for a period end ,the predict image is black where there is the mask.Do you have the similar situation when finetuning. Thanks a lot. |
This happened in my training as well. I'm not sure why, but it's on my todo list to dig a bit more into the batch normalization layer of keras and figure out why this happens. If anyone already knows, please let me know :) |
Have you solved this problem yet? @dianxin556 @MathiasGruber |
Did anyone figure this out yet? @dianxin556 @MathiasGruber @EricZgw Edit: And is it a problem? Will it eventually go away with enough finetuning? |
I fine-tuned based on phase1 only. My ROI is mostly at the centre of the image having a clean white background. train-800+ Val- 100+ and test-200+ with 0.95ssim for my test set |
No description provided.
The text was updated successfully, but these errors were encountered: