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  • Anyway, I think of it as being: exp mismatch between prediction and actual , where exp mismatch is used to strongly amplify being wrong.

  • Your model has a single floating-point output.

  • Depending on your problem, some other loss function might work better.

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Is there a simple way to implement my own exponential function.

  • Then: import torch def myExpLoss logits, labels : return 2.

  • Why do you multiply the labels times 2.

  • And if you use normal tensor operations, autograd will work for you.




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