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problem in finetune stage #12

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dianxin556 opened this issue Dec 4, 2018 · 5 comments
Open

problem in finetune stage #12

dianxin556 opened this issue Dec 4, 2018 · 5 comments

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@dianxin556
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@dianxin556
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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.

@MathiasGruber
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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 :)

@EricZgw
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EricZgw commented May 3, 2019

Have you solved this problem yet? @dianxin556 @MathiasGruber

@Squibit
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Squibit commented Sep 22, 2019

Did anyone figure this out yet? @dianxin556 @MathiasGruber @EricZgw

Edit: And is it a problem? Will it eventually go away with enough finetuning?

@burhr2
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burhr2 commented May 11, 2020

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

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5 participants