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          <div id="banner-title"><span>Apache MXNet (Incubating)</span>
            <p id="landing-title">A flexible and efficient library for deep learning.</p>
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                    <a href="install/index.html" id="install_btn">Install</a>
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        <h3>MXNet 1.3.0 Released</h3>
        <p>We're excited to announce the release of MXNet 1.3.0! This release includes Clojure bindings, Gluon package enhancements, ONNX export, TensorRT integration, and more!</p>
        <a href="https://github.com/apache/incubator-mxnet/releases/tag/1.3.0">Learn More</a>
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        <h3>A 60-minute Gluon Crash Course</h3>
        <p>Check out our quick overview of how to use Gluon, the imperative interface of MXNet.</p>
        <a href="http://gluon-crash-course.mxnet.io/">Learn More</a>
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        <h3>Get the latest news from MXNet blogs on Medium</h3>
        <p>Contributors and customers of MXNet post about how-tos, guides, examples, and stories about their MXNet experiences.
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        <a href="https://medium.com/apache-mxnet">Learn More</a>
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          <h2>Gluon Model Zoo</h2>
          <p>One-click pre-trained models, included in Gluon. Fast implementations of many state-of-the-art models, for plug-and-play effortless use.</p>
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            <a id="model-zoo-link" href="api/python/gluon/model_zoo.html">Gluon model zoo</a>
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          <h2>Examples</h2>
          <p>Explore projects from simple demos, examples, tutorials to state-of-the-art research.</p>
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            <a id="example-link" href="https://github.com/dmlc/mxnet/tree/master/example">MXNet examples</a>
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          <h2>Tutorials</h2>
          <p>These tutorials introduce a few fundamental concepts in deep learning and how to implement them in MXNet.</p>
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