after several iterations, the loss function remains unchanged, and the learning rate is still changed. I hope the great god will guide you what the problem is
this is the code https://github.com/yaoqinchua.
uses multi-perspective CNN (mvcnn)
after several iterations, the loss function remains unchanged, and the learning rate is still changed. I hope the great god will guide you what the problem is
this is the code https://github.com/yaoqinchua.
uses multi-perspective CNN (mvcnn)
Sorry is not the answer, because I also encountered the same situation
I don't know if the landlord has solved it
I didn't solve it either. Despair
first of all, understand that Loss does not necessarily shrink to zero!
it is recommended to check the loss graph. If the overall train-loss curve remains down or unchanged, as long as val-loss goes down or does not rise, there is nothing to worry about.
of course, at this time, you should also pay attention to train-acc and val-acc to see if the accuracy of the training set is declining
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