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The following commit(s) were added to refs/heads/master by this push:
     new 725a542  Fix Typo (classification) (#8376)
725a542 is described below

commit 725a5425d49e5e52455ce19055260df7ffaaadb9
Author: jb <j...@codesuji.com>
AuthorDate: Sat Oct 21 19:38:16 2017 -0400

    Fix Typo (classification) (#8376)
    
    Fix a typo in the example readme.
---
 example/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/example/README.md b/example/README.md
index 12ada4d..507b144 100644
--- a/example/README.md
+++ b/example/README.md
@@ -53,7 +53,7 @@ If you want to contribute to this list and the examples, 
please open a new pull
 * [Fast R-CNN](https://github.com/precedenceguo/mx-rcnn) by [Jian 
Guo](https://github.com/precedenceguo)
 * "End2End Captcha Recognition (OCR)" by 
[xlvector](https://github.com/xlvector) [github 
link](https://github.com/xlvector/learning-dl/tree/master/mxnet/ocr) [Blog in 
Chinese](http://blog.xlvector.net/2016-05/mxnet-ocr-cnn/)
 * "Prediction step of xlvector's lstm ocr" by 
[melody-rain](https://github.com/melody-rain) [github 
link](https://github.com/melody-rain/mxnet/commit/46002e31fc34c746c01bcaa7ade999187068ad3c)
 [Blog in Chinese](https://zhuanlan.zhihu.com/p/22698511)
-* "Solving classificiation + regression with MXnet in Multi Input + Multi Obj" 
by [xlvector](https://github.com/xlvector) [github 
link](https://gist.github.com/xlvector/c304d74f9dd6a3b68a3387985482baac) [Blog 
in 
Chinese](http://blog.xlvector.net/2016-05/mxnet-regression-classification-for-concret-continuous-features/)
+* "Solving classification + regression with MXnet in Multi Input + Multi Obj" 
by [xlvector](https://github.com/xlvector) [github 
link](https://gist.github.com/xlvector/c304d74f9dd6a3b68a3387985482baac) [Blog 
in 
Chinese](http://blog.xlvector.net/2016-05/mxnet-regression-classification-for-concret-continuous-features/)
 * "Learn to sort by LSTM" by [xlvector](https://github.com/xlvector) [github 
link](https://github.com/xlvector/learning-dl/tree/master/mxnet/lstm_sort) 
[Blog in Chinese](http://blog.xlvector.net/2016-05/mxnet-lstm-example/)
 * [Neural Art using extremely lightweight (<500K) neural 
network](https://github.com/pavelgonchar/neural-art-mini) Lightweight version 
of mxnet neural art implementation by [Pavel 
Gonchar](https://github.com/pavelgonchar)
 * [Neural Art with generative networks](https://github.com/zhaw/neural_style) 
by [zhaw](https://github.com/zhaw)

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