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Posted to commits@mxnet.apache.org by jx...@apache.org on 2017/08/30 18:49:30 UTC

[incubator-mxnet] branch master updated: [R] update tutorial link. close #6536 (#7461)

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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 cfdd081  [R] update tutorial link. close #6536 (#7461)
cfdd081 is described below

commit cfdd0812fddb6f66257680c6bd3167367bfd2c39
Author: Qiang Kou (KK) <qk...@qkou.info>
AuthorDate: Wed Aug 30 14:49:27 2017 -0400

    [R] update tutorial link. close #6536 (#7461)
---
 docs/api/r/index.md                                |  2 +-
 ...backFunctionTutorial.md => CallbackFunction.md} |  0
 ...CustomIteratorTutorial.md => CustomIterator.md} |  0
 docs/tutorials/r/index.md                          | 23 ++++++++++++++++++++++
 4 files changed, 24 insertions(+), 1 deletion(-)

diff --git a/docs/api/r/index.md b/docs/api/r/index.md
index 7b57947..8dcb746 100644
--- a/docs/api/r/index.md
+++ b/docs/api/r/index.md
@@ -24,5 +24,5 @@ You can perform tensor or matrix computation in R:
 ## Resources
 
 * [MXNet R Reference Manual](https://media.readthedocs.org/pdf/mxnet-test/latest/mxnet-test.pdf)
-* [MXNet for R Tutorials](http://mxnet.io/tutorials/index.html#R-Tutorials)
+* [MXNet for R Tutorials](../../tutorials/r/index.html)
 
diff --git a/docs/tutorials/r/CallbackFunctionTutorial.md b/docs/tutorials/r/CallbackFunction.md
similarity index 100%
rename from docs/tutorials/r/CallbackFunctionTutorial.md
rename to docs/tutorials/r/CallbackFunction.md
diff --git a/docs/tutorials/r/CustomIteratorTutorial.md b/docs/tutorials/r/CustomIterator.md
similarity index 100%
rename from docs/tutorials/r/CustomIteratorTutorial.md
rename to docs/tutorials/r/CustomIterator.md
diff --git a/docs/tutorials/r/index.md b/docs/tutorials/r/index.md
new file mode 100644
index 0000000..4692e7a
--- /dev/null
+++ b/docs/tutorials/r/index.md
@@ -0,0 +1,23 @@
+# R Tutorials
+
+These tutorials introduce a few fundamental concepts in deep learning and how to implement them in R using _MXNet_.
+
+```eval_rst
+.. toctree::
+   :maxdepth: 1
+
+   ndarray
+   symbol
+   fiveMinutesNeuralNetwork
+   classifyRealImageWithPretrainedModel
+   mnistCompetition
+   CatsDogsFinetune
+   CharRnnModel
+   CallbackFunction
+   CustomIterator
+   CustomLossFunction
+```
+
+<br>
+
+More tutorials and examples are available in the GitHub [repository](https://github.com/apache/incubator-mxnet/tree/master/example).

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