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using the default everything, the loss can not converge at all.
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Also, the loss cannot converge. However, the results become better and better during training. So why?
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I think ,the signifcant reason is the loss layer of the network.So you try to modify it.
How did you solve the problem of non-convergence? I met the same problem.Thank you.
I'm facing the same problem. The function converges?
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using the default everything, the loss can not converge at all.
The text was updated successfully, but these errors were encountered: