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Fix typo in losses.py #38

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Fix typo in losses.py #38

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2 changes: 1 addition & 1 deletion numpy_ml/neural_nets/losses/losses.py
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Original file line number Diff line number Diff line change
Expand Up @@ -197,7 +197,7 @@ class VAELoss(ObjectiveBase):
between the learned variational distribution :math:`q` and the prior,
:math:`p`, assumed to be a unit Gaussian.

VAELoss = BXE(y, y_pred) + KL[q || p]
VAELoss = BCE(y, y_pred) + KL[q || p]

where ``BxE`` is the binary cross-entropy between `y` and `y_pred`, and
``KL`` is the Kullback-Leibler divergence between the distributions
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