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From j...@apache.org
Subject [incubator-mxnet] branch master updated: fix typo (#10321)
Date Sun, 01 Apr 2018 23:03:29 GMT
This is an automated email from the ASF dual-hosted git repository.

jxie pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git


The following commit(s) were added to refs/heads/master by this push:
     new a3c0e0d  fix typo (#10321)
a3c0e0d is described below

commit a3c0e0d78115c0171fa2ba9acbdc30681c18b0ff
Author: Aston Zhang <22279212+astonzhang@users.noreply.github.com>
AuthorDate: Sun Apr 1 16:03:24 2018 -0700

    fix typo (#10321)
---
 docs/api/python/autograd/autograd.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/api/python/autograd/autograd.md b/docs/api/python/autograd/autograd.md
index 410d6a9..1e699d2 100644
--- a/docs/api/python/autograd/autograd.md
+++ b/docs/api/python/autograd/autograd.md
@@ -39,7 +39,7 @@ and do some computation. Finally, call `backward()` on the result:
 ## Train mode and Predict Mode
 
 Some operators (Dropout, BatchNorm, etc) behave differently in
-when training and when making predictions.
+training and making predictions.
 This can be controlled with `train_mode` and `predict_mode` scope.
 
 By default, MXNet is in `predict_mode`.
@@ -52,7 +52,7 @@ Although training usually coincides with recording,
 this isn't always the case.
 To control *training* vs *predict_mode* without changing
 *recording* vs *not recording*,
-Use a `with autograd.train_mode():`
+use a `with autograd.train_mode():`
 or `with autograd.predict_mode():` block.
 
 Detailed tutorials are available in Part 1 of

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