aaronmarkham commented on a change in pull request #16500: Fixing broken links
URL: https://github.com/apache/incubator-mxnet/pull/16500#discussion_r335664581
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File path: docs/python_docs/python/tutorials/packages/autograd/index.md
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@@ -159,7 +159,7 @@ print('is_training:', is_training, output)
We called `dropout` while `autograd` was recording this time, so our network
was in training mode and we see dropout of the input this time. Since the
probability of dropout was 50%, the output is automatically scaled by 1/0.5=2
to preserve the average activation.
-We can force some operators to behave as they would during training, even in
inference mode. One example is setting `mode='always'` on the
[Dropout](https://mxnet.apache.org/api/python/ndarray/ndarray.html?highlight=dropout#mxnet.ndarray.Dropout)
operator, but this usage is uncommon.
+We can force some operators to behave as they would during training, even in
inference mode. One example is setting `mode='always'` on the
[Dropout](/api/python/ndarray/ndarray.html?highlight=dropout#mxnet.ndarray.Dropout)
operator, but this usage is uncommon.
Review comment:
```suggestion
We can force some operators to behave as they would during training, even in
inference mode. One example is setting `mode='always'` on the
[Dropout](/api/python/ndarray/ndarray.html#mxnet.ndarray.Dropout) operator, but
this usage is uncommon.
```
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