eric-haibin-lin closed pull request #10415: [MXNET-284] Update release version 
text to 1.2.0

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diff --git a/docs/_static/mxnet-theme/index.html 
index 3b48832a03c..34f6c21120c 100644
--- a/docs/_static/mxnet-theme/index.html
+++ b/docs/_static/mxnet-theme/index.html
@@ -2,7 +2,7 @@
   <div class="container">
     <div class="row">
       <div class="col-lg-12">
-          <div id="banner-title" class='col-sm-6 col-xs-12'><span>Apache 
+          <div id="banner-title" class='col-sm-6 col-xs-12'><span>Apache MXNet 
             <p id="landing-title">A flexible and efficient library for deep 
             <div id='landing-btn-blk'>
                 <div id="install_blk">
@@ -21,21 +21,21 @@
   <div class="container">
     <div class="row">
       <div class="col-lg-4 col-sm-12">
-        <h3>Apache MXNet 1.1.0 Released</h3>
-        <p>We're excited to announce the release of MXNet 1.1.0! Check out the 
release notes for latest updates.</p>
-        <a 
+        <h3>MXNet 1.2.0.rc0 Released</h3>
+        <p>We're excited to announce the release of MXNet 1.2.0.rc0! Check out 
the release notes for latest updates.</p>
+        <a 
       <div class="col-lg-4 col-sm-12">
-        <h3>MXNet Model Server</h3>
-        <p>Apache MXNet Model Server (MMS) is a flexible and easy to use tool 
for serving deep learning models exported from MXNet or the Open Neural Network 
Exchange (ONNX).
+        <h3>Improved ONNX Support</h3>
+        <p>MXNet now supports importing ONNX models natively with the new 
ONNX-MXNet API. Try out the super resolution example, or a tutorial on 
fine-tuning an ONXX model with Gluon. 
-        <a 
+        <a href="api/python/contrib/onnx.html#onnx-tutorials">Learn More</a>
       <div class="col-lg-4 col-sm-12">
-          <h3>Introducing - Gluon</h3>
-          <p>We’re happy to introduce a new elegant, easy to use, imperative 
interface for MXNet.
+          <h3>Introducing the Scala Inference API</h3>
+          <p>A model loading and inference API is now available for Scala 
developers. Try out the examples for single shot detection and loading models 
for image classification.
-          <a href="";>Learn More</a>
+          <a href="api/scala/index.html">Learn More</a>


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