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BrainJS-examples


			
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							<!DOCTYPE html>
<html>

<head>
    <title>Brain JS - LSTM Math</title>
    <meta charset="utf-8" />
    <meta http-equiv="Content-Type"
          content="text/html; charset=utf-8" />
    <meta name="viewport"
          content="width=device-width, initial-scale=1.0">
    <style>
        #network {
        background: #ccc;
        border: 1px solid red;
        width: 640px;
        height: 480px;
      }
    </style>
    <link rel="stylesheet" href="simple.min.css">
</head>

<body>
    <h1>Brain JS - LSTM Math</h1>
    <p>
        In this case, we test the math adding calcuation by LSTM model.
    </p>
    <h2>Test results</h2>
    <div id="input">
        <p>Input a math problem, like "1+2=" or "9+7=" in the below input box.</p>
        <input type="text"
               id="problem"></input>
        <button id="calcuate">Calculate</button>
        <button id="testall">Test all once</button>
    </div>
    <div id="output"></div>
    <h2>Network</h2>
    <div id="network"></div>
</body>
<script src="brain-browser.js"></script>
<script type="text/javascript">
const svg_config = {
  height: 480,
  width: 640,
  radius: 10,
};

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

// used to build list below
const mathProblemsSet = new Set();
for (let i = 0; i < 10; i++) {
  for (let j = 0; j < 10; j++) {
    mathProblemsSet.add(`${i}+${j}=${i + j}`);
    mathProblemsSet.add(`${j}+${i}=${i + j}`);
  }
}
const mathProblems = Array.from(mathProblemsSet);
console.log(mathProblems);

net.train(mathProblems, { log: true, errorThresh: 0.03 });


let errors = 0;
document.getElementById("calcuate").onclick = () => {
  const input = document.getElementById("problem").value;
  const output = net.run(input)

  const predictedMathProblem = input + output;
  const error = mathProblems.indexOf(predictedMathProblem) <= -1 ? 1 : 0;
  errors += error;

  document.getElementById("output").innerHTML =
    `Output :${input}${output}` +
    `<br/>${error?'Error':'Correct'}, total error ${errors}`;
};

// Batch test for all problems
document.getElementById("testall").onclick = () => {
  let results = 'Test all items:<br/><ul>';
  for (let i = 0; i < mathProblems.length; i++) {
    const input = mathProblems[i].split('=')[0] + '=';
    const output = net.run(input);
    const predictedMathProblem = input + output;
    const error = mathProblems.indexOf(predictedMathProblem) <= -1 ? 1 : 0;
    errors += error;
    results += '<li>';
    results += input + output;
    results += error ? ' - error' : '';
    results += '</li>';
  }
  results +='</ul>';

  results = `Batch test with ${errors} errors <br/>`+ results;

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

</html>