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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/06/06 21:54:53 UTC

[GitHub] [incubator-mxnet] anirudhacharya commented on a change in pull request #15109: [DOC] refine autograd docs

anirudhacharya commented on a change in pull request #15109: [DOC] refine autograd docs
URL: https://github.com/apache/incubator-mxnet/pull/15109#discussion_r291375533
 
 

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 File path: docs/api/python/autograd/autograd.md
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 @@ -76,7 +82,63 @@ Detailed tutorials are available in Part 1 of
 [the MXNet gluon book](http://gluon.mxnet.io/).
 
 
+# Higher order gradient
+
+Some operators support higher order gradients. Meaning that you calculate the gradient of the
+gradient. For this the operator's backward must be as well differentiable. Some operators support
+differentiating multiple times, and others two, most just once.
+
+For calculating higher order gradients, we can use the `mx.autograd.grad` function while recording
+and then call backward, or call `mx.autograd.grad` two times. If we do the later is important that
 
 Review comment:
   later -> latter
   
   nit: "... do the latter, it is important ..."

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