docs/_static/mxnet-theme/index.html

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        <div id="banner-title">A Flexible and Efficient Library for Deep Learning</div>
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          <a href="get_started/why_mxnet.html" id="why_mxnet_btn">Learn More</a>
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          <a href="get_started/install.html" id="install_btn">Install</a>
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        <h3>MXNet 0.10.0 Released</h3>
        <p>We're excited to announce the release of MXNet 0.10.0! Check out the release notes for latest updates.</p>
        <a href="https://github.com/dmlc/mxnet/releases">Learn More</a>
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        <h3>MXNet Joining Apache</h3>
        <p>We’re excited to announce that MXNet has been accepted to the Apache Incubator.
        </p>
        <a href="http://incubator.apache.org/projects/mxnet.html">Learn More</a>
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        <h3>MXNet in AWS re:Invent 2016</h3>
        <p> Learn how to use MXNet to build neural network models for recommendation systems.
        </p>
        <a href="https://www.youtube.com/watch?v=cftJAuwKWkA">Watch Video</a>
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          <h2>Examples</h2>
          <p>Explore projects from simple demos to state-of-the-art research</p>
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            <a href="https://github.com/dmlc/mxnet/tree/master/example">MXNet Examples</a>
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          <h2>Model Zoo</h2>
          <p>Off the shelf pre-trained models</p>
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            <a href="model_zoo/index.html">Model Zoo</a>
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      <p>
        MXNet is developed by collaborators from multiple universities and
        companies. We sincerely thank the following organizations for supporting
        MXNet and sponsoring its major developers (alphabetical order).
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