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The loss with regard to the unlabeled data l_unl is defined as: loss_unl = -0.5*T.mean(l_unl) + 0.5*T.mean(T.nnet.softplus(l_unl)) + 0.5*T.mean(T.nnet.softplus(l_gen))
But the first term contradicts with the second term, which obsess me a lot.
The text was updated successfully, but these errors were encountered:
The loss with regard to the unlabeled data
l_unl
is defined as:loss_unl = -0.5*T.mean(l_unl) + 0.5*T.mean(T.nnet.softplus(l_unl)) + 0.5*T.mean(T.nnet.softplus(l_gen))
But the first term contradicts with the second term, which obsess me a lot.
The text was updated successfully, but these errors were encountered: