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Update docs for tf.contrib.losses -> tf.losses #15101

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Dec 4, 2017
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Update docs for tf.contrib.losses -> tf.losses #15101

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4 changes: 2 additions & 2 deletions tensorflow/docs_src/extend/estimators.md
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Expand Up @@ -515,7 +515,7 @@ using `mean_squared_error()` (in bold):
loss = tf.losses.mean_squared_error(labels, predictions)</strong>
...</code></pre>

See the @{$python/contrib.losses$API guide} for a
See the @{tf.losses$API guide} for a
full list of loss functions and more details on supported arguments and usage.

Supplementary metrics for evaluation can be added to an `eval_metric_ops` dict.
Expand Down Expand Up @@ -694,5 +694,5 @@ For additional reference materials on building `Estimator`s, see the following
sections of the API guides:

* @{$python/contrib.layers$Layers}
* @{$python/contrib.losses$Losses}
* @{tf.losses$Losses}
* @{$python/contrib.layers#optimization$Optimization}