NeuralNetworkJS/xorNN.html at master · prasad-madhale/NeuralNetworkJS · GitHub

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<html>
<head>
  <title>XOR visualization using Neural Network</title>
  <link rel="stylesheet" href="./bootstrap-3.3.7-dist/css/bootstrap.min.css">
  <link rel="shortcut icon" type="image/png" href="./res/favicon.png">
  <link rel="stylesheet" href="style.css">
  <script type="text/javascript" src="./p5js/p5.js">
  </script>
  <script type="text/javascript" src="./p5js/addons/p5.dom.min.js">
  </script>
  <script type="text/javascript" src="xorNN.js">
  </script>
  <script type="text/javascript" src="NeuralNetwork.js">
  </script>
  <script type="text/javascript" src="matrix.js">
  </script>
</head>

<body>
  <div class="container-fluid">

    <div class="row">
      <div class="col-lg-6">
        <h2 class="text-uppercase"> XOR visualization using Neural Network</h2>
        <p class="text-monospace"> Visualizes the XOR training output in the form of a 2D graph.
          <blockquote class="blockquote mb-0"> <p class="text-monospace">The four corners represent the four inputs.
          White color represents True(1) and Black color represents False(0) output.</p></blockquote>

        <p class="text-monospace">
          The slider at the bottom helps us vary the learning rate at runtime.
          It is set to 0.1 initially.
        </p>
      </div>
    </div>
  </div>

</body>
</html>