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+<!DOCTYPE html>
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+<html>
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+
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+<head>
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+ <title>Brain JS Test</title>
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+ <meta charset="utf-8" />
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+ <meta http-equiv="Content-Type"
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+ content="text/html; charset=utf-8" />
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+ <meta name="viewport"
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+ content="width=device-width, initial-scale=1.0">
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+ <style>
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+ .quotes{
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+ background:rgba(128, 128, 128, 0.3);
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+ border-radius: 3px;
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+ padding-left: 0.3em;
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+ padding-right: 0.3em;
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+ padding-top: 0.1em;
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+ padding-bottom: 0.1em;
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+ }
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+ </style>
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+ <link rel="stylesheet"
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+ href="simple.min.css">
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+</head>
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+
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+<body>
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+ <header>
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+ <h1>Brain JS Test</h1>
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+ <p>
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+ JavaScript libray <span class="quotes">brain.js</span> for machine learning in browser.
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+ </p>
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+ </header>
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+ <main>
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+ <p>With the power of <span class="quotes">brain.js</span>,
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+ we create the following examples to test the models in the browser.</p>
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+ <h2>Neural Network</h2>
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+ <p>
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+ The <span class="quotes">Neural Network</span> is very simple in this libray.
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+ We tested with two examples:
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+ <ul>
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+ <li><a href="brain-js.test-01.html">Basic example</a></li>
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+ <li><a href="brain-js.test-04-classifier.html">Classify data</a></li>
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+ </ul>
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+ </p>
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+ <h2>Recurrent Network</h2>
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+ <p>
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+ The brain.js support <span class="quotes">RNN</span>, <span class="quotes">LSTM</span> and <span class="quotes">GRU</span>. We noticed that the data format of these models are different to Neural netowrk. In recurrent network, the data must be array.
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+ <ul>
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+ <li><a href="brain-js.test-02-RNN.html">RNN</a></li>
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+ <li><a href="brain-js.test-03-LSTM-math.html">LSTM</a></li>
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+ </ul>
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+ </p>
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+ </main>
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+ <footer>
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+ <p>Jason Xing © 2023</p>
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+ <p>Powered by <a href="https://brain.js.org">brain.js</a></p>
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+ </footer>
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+</body>
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+<script type="text/javascript">
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+</script>
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+
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+</html>
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Jason Xing