piiswrong closed pull request #8376: Fix Typo (classification) URL: https://github.com/apache/incubator-mxnet/pull/8376
This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign pull request (from a fork), the diff is supplied below (as it won't show otherwise due to GitHub magic): diff --git a/example/README.md b/example/README.md index 12ada4d0ce..507b144ad6 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) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
