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Model does not converge #10

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Gkakuka opened this issue Jan 14, 2019 · 4 comments
Open

Model does not converge #10

Gkakuka opened this issue Jan 14, 2019 · 4 comments

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@Gkakuka
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Gkakuka commented Jan 14, 2019

Hi Issam:
thanks for you code!when I training the network,model does not converge. I try to reduce the learning rate and increase batch size,but it is not working. New to deep learning. Sorry for bothering you.

@Issam28
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Issam28 commented Jan 14, 2019

why do you mean by model does not converge?

@Gkakuka
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Gkakuka commented Jan 14, 2019

Sorry,I think that the loss of 0.6 is not small enough.

@muween
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muween commented Apr 6, 2020

Sorry,I think that the loss of 0.6 is not small enough.

Did you have a data augmentation? I can't reach the loss of 0.6, but 0.72

@siddiqss
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siddiqss commented Aug 3, 2020

Hi, I'm using train_test_split from sklearn for validation patches and labels. After passing the train and test values to fit_unet() function, I'm getting this error: 'ValueError: tf.function-decorated function tried to create variables on non-first call.'
Please help me resolve this.

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