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<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>
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<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>
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why announce rc0? I don't remember such announcements for previous releases

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This is a new change and we are adding a drop-down menu item for users to preview 1.2.0rc0 and that is the reason for the announcement.

<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>
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<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.
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<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>
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<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.
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<a href="http://gluon.mxnet.io">Learn More</a>
<a href="api/scala/index.html">Learn More</a>
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