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いぶくやか

<html>
<head>
<title>demo</title>
<!-- import convnetjs library -->
<script src="http://cs.stanford.edu/people/karpathy/convnetjs/build/convnet-min.js"></script>
 
<!-- javascript goes here -->
<script type="text/javascript">
 
 
function start() {
 
var layer_defs = [];
layer_defs.push({type:'input', out_sx:1, out_sy:1, out_depth:2});
layer_defs.push({type:'fc', num_neurons:5, activation:'sigmoid'});
layer_defs.push({type:'regression', num_neurons:1});
var net = new convnetjs.Net();
net.makeLayers(layer_defs);
 
var x = new convnetjs.Vol([0.5, -1.3]);
 
 
var trainer = new convnetjs.SGDTrainer(net, 
              {learning_rate:0.01, momentum:0.0, batch_size:1, l2_decay:0.001});
trainer.train(x, [0.7]);
 
 
var predicted_values = net.forward(x);
 
 var d = document.getElementById('egdiv');
 
  d.innerHTML = predicted_values.w[0];
 
 
}
 
</script>
</head>
 
<body onload="start()">
<div id="egdiv"></div>
</body>
</html>
最終更新:2017年04月18日 01:49