ehsanmok commented on a change in pull request #17435: Chopt docfixes
URL: https://github.com/apache/incubator-mxnet/pull/17435#discussion_r370903348
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File path: docs/python_docs/python/tutorials/packages/gluon/loss/loss.md
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@@ -160,7 +160,7 @@ In classification, we often apply the
softmax operator to the predicted outputs to obtain prediction probabilities,
and then apply the cross entropy loss against the true labels:
-$$ \begin{align}\begin{aligned}p = \softmax({pred})\\L = -\sum_i \sum_j
{label}_j \log p_{ij}\end{aligned}\end{align}
+$$ \begin{align}\begin{aligned}p = softmax({pred})\\L = -\sum_i \sum_j
{label}_j \log p_{ij}\end{aligned}\end{align}
Review comment:
Think latex wise using `\text{softmax}` is better that plain "softmax".
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