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              <h1 class="wow fadeInDown" data-wow-duration="1000ms" data-wow-delay="0.3s">NVIDIA-BDI Joint Deep Learning Workshop</h1>
              <p class="lead  wow fadeIn" data-wow-duration="1000ms" data-wow-delay="400ms">Design, train, and <b style="color:#4777fa"></span>accelerate<span class="lnr lnr-rocket"></b> your neural network-powered artificial intelligence projects.</p>
              <h3 class="wow fadeInDown" data-wow-duration="1000ms" data-wow-delay="0.3s">HKUST, 27 July 2017</h3>
              <a href="#reg" class="btn btn-common wow fadeInUp" data-wow-duration="1000ms" data-wow-delay="400ms"><i class="lnr lnr-pencil"></i> Register Now</a>
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          <p>NVIDIA Deep Learning Institute in partnership with HKUST Big Data Institute are excited to announce this 1-day practical deep learning workshop on 24 July, 2017.</p>

          <p>Deep learning is a hot topic in both academia and industry since it has recently dramatically improved the state-of-the-art in areas such as speech recognition, computer vision, predicting the activity of drug molecules, and many other machine learning tasks. The basic idea in deep learning is to automatically learn to represent data in multiple layers of increasing abstraction, thus helping to discover intricate structure in large datasets.</p>

          <p>The 1-day workshop will provide excellent opportunity to learn fundamentals of deep learning, starting from basic workflows in deep learning, using TensorFlow for building intelligent applications, as well as practical acceleration solutions for large-scale TensorFlow deployments.</p>
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          <h2 class="section-title wow fadeIn" data-wow-duration="1000ms" data-wow-delay="0.3s">Hands-on with<span> TensorFlow</span></h2>
          <hr class="lines wow zoomIn" data-wow-delay="0.3s">
        </div>
        <div class="wow fadeIn" data-wow-duration="1000ms" data-wow-delay="0.3s">
          <p>TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization. The system is designed to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system.
          </p>
          <p>
          TensorFlow's flexible architecture allows you to deploy computation on everything from multiple CPUs or GPUs to a mobile device with a single API’. Scalability and flexibility of TensorFlow is one of the main advantages it holds over competing frameworks.
          </p>
          <p>
          Participant of both workshop labs will be awarded <b style="color:#4777fa"><span class="lnr lnr-license"></span> certificate of completion</b>. Enroll now to learn everything you need to design, train, and integrate neural network-powered artificial intelligence into your applications using TensorFlow.
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          <h2 class="section-title wow fadeIn" data-wow-duration="1000ms" data-wow-delay="0.3s">Event <span>Schedule</span></h2>
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              <th style='text-align:center;'>Time</th>
              <th style='text-align:center;'>Event</th>
              <th style='text-align:center;'>Location</th>
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              <td style='text-align:center;'>9:30-10:00</td>
              <td style='text-align:center;'>Check-in</td>
              <td style='text-align:center;'>LTF</td>
            </tr>
            <tr>
              <td style='text-align:center;'>10:00-10:20</td>
              <td style='text-align:center;'>Opening</td>
              <td style='text-align:center;'>LTF</td>
            </tr>
            <tr>
              <td style='text-align:center;'>10:20-11:00</td>
              <td style='text-align:center;'>Deep Learning, AI Revolution - The Next Computing Paradigm</td>
              <td style='text-align:center;'>LTF</td>
            </tr>
            <tr>
              <td style='text-align:center;'>11:00-11:40</td>
              <td style='text-align:center;'>Deep Learning In HKUST BDI</td>
              <td style='text-align:center;'>LTF</td>
            </tr>
            <tr>
              <td style='text-align:center;'>11:40-13:00</td>
              <td style='text-align:center;'>Lunch break</td>
              <td style='text-align:center;'> </td>
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            <tr>
              <td style='text-align:center;'>13:00-13:30</td>
              <td style='text-align:center;'>NVIDIA Deep Learning Overview</td>
              <td style='text-align:center;'>Rm1505</td>
            </tr>
            <tr>
              <td style='text-align:center;'>13:30-15:00</td>
              <td style='text-align:center;'>Deep Learning Workflows with TensorFlow, MXNet and NVIDIA-Docker</td>
              <td style='text-align:center;'>Rm1505</td>
            </tr>
            <tr>
              <td style='text-align:center;'>15:00-15:20</td>
              <td style='text-align:center;'>Break</td>
              <td style='text-align:center;'> </td>
            </tr>
            <tr>
              <td style='text-align:center;'>15:20-17:00</td>
              <td style='text-align:center;'>Image Segmentation with TensorFlow</td>
              <td style='text-align:center;'>Rm1505</td>
            </tr>
            <tr><commit_msg>symbols<commit_after><!DOCTYPE html>
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                <a class="nav-link" href="#info">About</a>
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                <a class="nav-link" href="#venue">Location</a>
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      <div class="container">
        <div class="row justify-content-md-center">
          <div class="col-md-10">
            <div class="contents text-center">
              <h1 class="wow fadeInDown" data-wow-duration="1000ms" data-wow-delay="0.3s">NVIDIA-BDI Joint Deep Learning Workshop</h1>
              <p class="lead  wow fadeIn" data-wow-duration="1000ms" data-wow-delay="400ms">Design, train, and <b style="color:#4777fa">accelerate<span class="lnr lnr-rocket"></span></b> your neural network-powered artificial intelligence projects.</p>
              <h3 class="wow fadeInDown" data-wow-duration="1000ms" data-wow-delay="0.3s">HKUST, 27 July 2017</h3>
              <a href="#reg" class="btn btn-common wow fadeInUp" data-wow-duration="1000ms" data-wow-delay="400ms"><i class="lnr lnr-pencil"></i> Register Now</a>
            </div>
          </div>
        </div>
      </div>
    </header>
    <!-- Header Section End -->

    <section id="info" class="section">
      <div class="container">
          <div class="wow fadeIn" data-wow-duration="1000ms" data-wow-delay="0.3s">
          <p>NVIDIA Deep Learning Institute in partnership with HKUST Big Data Institute are excited to announce this 1-day practical deep learning workshop on 24 July, 2017.</p>

          <p>Deep learning is a hot topic in both academia and industry since it has recently dramatically improved the state-of-the-art in areas such as speech recognition, computer vision, predicting the activity of drug molecules, and many other machine learning tasks. The basic idea in deep learning is to automatically learn to represent data in multiple layers of increasing abstraction, thus helping to discover intricate structure in large datasets.</p>

          <p>The 1-day workshop will provide excellent opportunity to learn fundamentals of deep learning, starting from basic workflows in deep learning, using TensorFlow for building intelligent applications, as well as practical acceleration solutions for large-scale TensorFlow deployments.</p>
          </div>
      </div>
    </section>

    <section class="section" data-stellar-background-ratio="0.2">
      <div class="container">
        <div class="section-header">
          <h2 class="section-title wow fadeIn" data-wow-duration="1000ms" data-wow-delay="0.3s">Hands-on with<span> TensorFlow</span></h2>
          <hr class="lines wow zoomIn" data-wow-delay="0.3s">
        </div>
        <div class="wow fadeIn" data-wow-duration="1000ms" data-wow-delay="0.3s">
          <p>TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization. The system is designed to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system.
          </p>
          <p>
          TensorFlow's flexible architecture allows you to deploy computation on everything from multiple CPUs or GPUs to a mobile device with a single API’. Scalability and flexibility of TensorFlow is one of the main advantages it holds over competing frameworks.
          </p>
          <p>
          Participant of both workshop labs will be awarded <b style="color:#4777fa"><span class="lnr lnr-license"></span> certificate of completion</b>. Enroll now to learn everything you need to design, train, and integrate neural network-powered artificial intelligence into your applications using TensorFlow.
          </p>
        </div>
        </div>
      </div>
    </section>

    <!-- Portfolio Section -->
    <section id="schedule" class="section">
      <!-- Container Starts -->
      <div class="container">
        <div class="section-header">
          <h2 class="section-title wow fadeIn" data-wow-duration="1000ms" data-wow-delay="0.3s">Event <span>Schedule</span></h2>
          <hr class="lines wow zoomIn" data-wow-delay="0.3s">
        </div>
        <div class="row justify-content-md-center">
          <table border="1" width="100%" class="wow fadeInDown" data-wow-duration="1000ms" data-wow-delay="0.3s">
          <thead>
            <tr>
              <th style='text-align:center;'>Time</th>
              <th style='text-align:center;'>Event</th>
              <th style='text-align:center;'>Location</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td style='text-align:center;'>9:30-10:00</td>
              <td style='text-align:center;'>Check-in</td>
              <td style='text-align:center;'>LTF</td>
            </tr>
            <tr>
              <td style='text-align:center;'>10:00-10:20</td>
              <td style='text-align:center;'>Opening</td>
              <td style='text-align:center;'>LTF</td>
            </tr>
            <tr>
              <td style='text-align:center;'>10:20-11:00</td>
              <td style='text-align:center;'>Deep Learning, AI Revolution - The Next Computing Paradigm</td>
              <td style='text-align:center;'>LTF</td>
            </tr>
            <tr>
              <td style='text-align:center;'>11:00-11:40</td>
              <td style='text-align:center;'><!--span class="lnr lnr-rocket"></span><b> Accelerated</b--> Deep Learning Research In HKUST BDI</td>
              <td style='text-align:center;'>LTF</td>
            </tr>
            <tr>
              <td style='text-align:center;'>11:40-13:00</td>
              <td style='text-align:center;'>Lunch break</td>
              <td style='text-align:center;'> </td>
            </tr>
            <tr>
              <td style='text-align:center;'>13:00-13:30</td>
              <td style='text-align:center;'>NVIDIA Deep Learning Overview</td>
              <td style='text-align:center;'>Rm1505</td>
            </tr>
            <tr>
              <td style='text-align:center;'>13:30-15:00</td>
              <td style='text-align:center;'>Deep Learning Workflows with TensorFlow, MXNet and NVIDIA-Docker</td>
              <td style='text-align:center;'>Rm1505</td>
            </tr>
            <tr>
              <td style='text-align:center;'>15:00-15:20</td>
              <td style='text-align:center;'>Break</td>
              <td style='text-align:center;'> </td>
            </tr>
            <tr>
              <td style='text-align:center;'>15:20-17:00</td>
              <td style='text-align:center;'>Image Segmentation with TensorFlow</td>
              <td style='text-align:center;'>Rm1505</td>
            </tr>
            <tr>
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