eric-haibin-lin closed pull request #10415: [MXNET-284] Update release version
text to 1.2.0
URL: https://github.com/apache/incubator-mxnet/pull/10415
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diff --git a/docs/_static/mxnet-theme/index.html
b/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
MXNet</span>
+ <div id="banner-title" class='col-sm-6 col-xs-12'><span>Apache MXNet
(Incubating)</span>
<p id="landing-title">A flexible and efficient library for deep
learning.</p>
<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
href="https://github.com/apache/incubator-mxnet/releases/tag/1.1.0";>Learn
More</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
href="https://cwiki.apache.org/confluence/display/MXNET/Apache+MXNet+%28incubating%29+1.2.0+Release+Notes";>Learn
More</a>
</div>
<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.
</p>
- <a
href="https://github.com/awslabs/mxnet-model-server/blob/master/README.md";>Learn
More</a>
+ <a href="api/python/contrib/onnx.html#onnx-tutorials">Learn More</a>
</div>
<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.
</p>
- <a href="http://gluon.mxnet.io";>Learn More</a>
+ <a href="api/scala/index.html">Learn More</a>
</div>
</div>
</div>
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