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Can it be applied to multi-classification problems? #4
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If applied on softmax cross entropy loss, the form needs modification. We haven't studied this yet. And if you have any good idea, welcome to discuss in mail. :) |
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GD(g) = R ind(g) M |
@xialuxi hello, M is the "n" in
and
Sorry for the different notation. |
Thank you for your explanation. |
momentum = 1.0 There will be problems with code calculation. |
Since the equation has the form sum[i+1] = mmt * sum[i] + (1 - mmt) * num[i], I will add a line to check if the value of momentum is valid. Thank you. @xialuxi If you have more questions unrelated to "multi-classification", you'd better open a new issue :) |
ok |
why the n is not a fixed value, since the bins (or M) is fixed |
for multi-classification, when p = softmax(x), Does GHMC_loss work?
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