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Comments (4)

tfzhou avatar tfzhou commented on August 17, 2024

Also, the loss cannot converge. However, the results become better and better during training. So why?

from hed.

mhl20110088 avatar mhl20110088 commented on August 17, 2024

I think ,the signifcant reason is the loss layer of the network.So you try to modify it.

from hed.

chaobeiying avatar chaobeiying commented on August 17, 2024

How did you solve the problem of non-convergence? I met the same problem.Thank you.

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falreis avatar falreis commented on August 17, 2024

I'm facing the same problem. The function converges?

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