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Loss is not minimizing after 2nd epoch. #12
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I also just reshaped my data, so that I don't have to do any other changes in the original code:
but unfortunately the training output is exactly the same. |
Hello, I also encountered the same problem, have you solved it? |
Hello! I haven't solved the problem yet. So, he suggested the following things:
Good luck! |
Hi there, I solved this problem by crop my data. I think the loss is sensitive to unbalanced categories. And the learning rate is 0.0005, keep the y_pred is a probability map between [0,1]. No other code changes. |
Thank you very much! |
Hello everyone! I tried to implement the AC loss function on a U-Net model.
I am using the the AC loss as loss function and the Dice Coefficient as metric.
I am using the NIH dataset for training (https://wiki.cancerimagingarchive.net/display/Public/Pancreas-CT).
Since the data format is different (8, 256, 256, 1), I changed the indexes.
My code is the following:
However, the output of the training does not go well:
Any ideas what I am doing wrong?
Thanks in advance!
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