szha closed pull request #10318: typo in tutorials index
URL: https://github.com/apache/incubator-mxnet/pull/10318
 
 
   

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diff --git a/docs/tutorials/index.md b/docs/tutorials/index.md
index 8a597e95bfb..a4f3d6f298c 100644
--- a/docs/tutorials/index.md
+++ b/docs/tutorials/index.md
@@ -163,11 +163,11 @@ The Gluon and Module tutorials are in Python, but you can 
also find a variety of
 
 <div class="advanced">
 
-- [NDArray in Compressed Sparse Row Storage 
Format](http://mxnet.incubator.apache.org/tutorials/sparse/csr.html)
+- [NDArray in Compressed Sparse Row storage 
format](http://mxnet.incubator.apache.org/tutorials/sparse/csr.html)
 
-- [Sparse Gradient 
Updates](http://mxnet.incubator.apache.org/tutorials/sparse/row_sparse.html)
+- [Sparse gradient 
updates](http://mxnet.incubator.apache.org/tutorials/sparse/row_sparse.html)
 
-- [Train a Linear Regression Model with Sparse 
Symbols](http://mxnet.incubator.apache.org/tutorials/sparse/train.html)
+- [Train a linear regression model with sparse 
symbols](http://mxnet.incubator.apache.org/tutorials/sparse/train.html)
 
 </div>
 
@@ -186,7 +186,7 @@ The Gluon and Module tutorials are in Python, but you can 
also find a variety of
 
 - [Matrix factorization in recommender 
systems](http://mxnet.incubator.apache.org/tutorials/python/matrix_factorization.html)
 
-- [Text classification (NLP) on Movie 
Reviews](http://mxnet.incubator.apache.org/tutorials/nlp/cnn.html)
+- [Text classification (NLP) on movie 
reviews](http://mxnet.incubator.apache.org/tutorials/nlp/cnn.html)
 
 </div> <!--end of applications-->
 
@@ -229,7 +229,7 @@ The Gluon and Module tutorials are in Python, but you can 
also find a variety of
 
 <div class="scala">
 
-- [Setup your MXNet with Scala on 
InelliJ](http://mxnet.incubator.apache.org/tutorials/scala/mxnet_scala_on_intellij.html)
+- [Setup your MXNet with Scala on 
IntelliJ](http://mxnet.incubator.apache.org/tutorials/scala/mxnet_scala_on_intellij.html)
 - [MNIST with the Scala 
API](http://mxnet.incubator.apache.org/tutorials/scala/mnist.html)
 - [Use Scala to build a Long Short-Term Memory network that generates Barack 
Obama's speech 
patterns](http://mxnet.incubator.apache.org/tutorials/scala/char_lstm.html)
 </div>


 

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