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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) -- To stop receiving notification emails like this one, please contact ['"comm...@mxnet.apache.org" <comm...@mxnet.apache.org>'].