xing
/
BrainJS-examples


			
				
					
						
						
							12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273
							<!DOCTYPE html>
<html>
  <head>
    <title>Brain JS Test</title>
    <meta charset="utf-8" />
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />

    <style>
      #network {
        background: #ccc;
        border: 1px solid red;
        width: 640px;
        height: 480px;
      }
    </style>
  </head>

  <body>
    <h1>Brain JS Test - RNN</h1>
    <p>
      Brain.js is a machine learning program in Javascript.
    </p>

    <h2>Test results</h2>
    <div id="output"></div>

    <h2>Network</h2>
    <div id="network"></div>
  </body>
  <script src="brain-browser.js"></script>
  <script type="text/javascript">
    // provide optional config object, defaults shown.
    const config = {
      inputSize: 20,
      inputRange: 20,
      hiddenLayers: [2, 5],
      outputSize: 20,
      learningRate: 0.01,
      decayRate: 0.999,
    };

    const svg_config = {
      height: 480,
      width: 640,
      radius: 10,
      inputs:{
        labels:['1','2','3', '4','5' ],
        color:'#333',
      }
    };

    // create a simple recurrent neural network
    const net = new brain.recurrent.RNN(config);

    net.train([
      { input: [0, 0], output: [0] },
      { input: [0, 1], output: [1] },
      { input: [1, 0], output: [1] },
      { input: [1, 1], output: [0] },
    ]);

    let input = [1, 0];
    let output = net.run([0, 0]); // [0]

    document.getElementById("output").innerHTML =
      "Input:" + input + "<br/>" + "output is " + output;

    document.getElementById("network").innerHTML = brain.utilities.toSVG(
      net,
      svg_config
    );
  </script>
</html>