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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>TensorSpace - Hello World</title>
<meta name="author" content="syt123450 / https://github.com/syt123450">
<script src="../lib/three.min.js"></script>
<script src="../lib/tween.min.js"></script>
<script src="../lib/tf.min.js"></script>
<script src="../lib/TrackballControls.js"></script>
<script src="../../dist/tensorspace.min.js"></script>
<script src="../lib/jquery.min.js"></script>
<style>
html, body {
margin: 0;
padding: 0;
width: 100%;
height: 100%;
}
#container {
width: 100%;
height: 100%;
}
</style>
</head>
<body>
<div id="container"></div>
<script>
$(function() {
let modelContainer = document.getElementById( "container" );
let model = new TSP.models.Sequential( modelContainer );
model.add( new TSP.layers.GreyscaleInput() );
model.add( new TSP.layers.Padding2d() );
model.add( new TSP.layers.Conv2d() );
model.add( new TSP.layers.Pooling2d() );
model.add( new TSP.layers.Conv2d() );
model.add( new TSP.layers.Pooling2d() );
model.add( new TSP.layers.Dense() );
model.add( new TSP.layers.Dense() );
model.add( new TSP.layers.Output1d({
outputs: ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"]
}) );
model.load({
type: "tensorflow",
url: './convertedModel/model.json'
});
model.init( function() {
$.ajax({
url: "./data/5.json",
type: 'GET',
async: true,
dataType: 'json',
success: function (data) {
model.predict( data );
}
});
} );
});
</script>
</body>
</html>
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