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<!--
Copyright 2018 Google LLC. All Rights Reserved.
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<html>
<head>
<title>TensorFlow.js: Train MNIST with the Core API</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="../shared/tfjs-examples.css" />
<style>
.tfjs-example-container {
width: calc(100vw - 600px);
}
canvas {
width: 100px;
}
.pred {
font-size: 30px;
width: 100px;
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.pred-correct {
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background-color: red;
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.pred-container {
display: inline-block;
width: 100px;
margin: 10px;
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</style>
</head>
<body>
<div class="tfjs-example-container">
<section class='title-area'>
<h1>TensorFlow.js: Train MNIST with the Core API</h1>
</section>
<section>
<p class='section-head'>Description</p>
<p>
This examples demonstrates training a handwritten digit recognizer using a Convolutional Neural Network
implemented with TensorFlow.js' lower level API.
</p>
<p>The MNIST dataset is used as training data.</p>
</section>
<section>
<p class='section-head'>Status</p>
<div id="status">Loading data...</div>
<div id="message"></div>
</section>
<section>
<p class='section-head'>Test Samples</p>
<div id="images"></div>
</section>
<script type="module" src="index.js"></script>
</div>
</body>
</html>