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index.html
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<!DOCTYPE html>
<html>
<h2 style="text-align:center"> <b>ALOISIUS MARDIYANTO </b> </h2>
<h2 style="text-align:center"> <b>41416120167</b> </h2>
<head>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css">
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.2.4/jquery.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.9.0/p5.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.9.0/addons/p5.dom.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.9.0/addons/p5.sound.min.js"></script>
<!-- <link rel="stylesheet" type="text/css" href="style.css"> -->
<script src="matrix.js"></script>
<script src="sketch.js"></script>
<meta charset="utf-8" />
<script src="https://cdn.jsdelivr.net/npm/sweetalert2@8"></script>
</head>
<body>
<div class="container">
<form>
<div class="row">
<div class="col text-center">
<img src="data:image/png;base64,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"/>
</div>
</div>
<hr/>
<div class="row">
<div class="col">
<div class="form-group">
<label for="lr">Learning Rate</label>
<input type="text" class="form-control" id="lr" placeholder="Learning Rate">
</div>
</div>
<div class="col">
<div class="form-group">
<label for="epoch">Epoch <code><span id="ec" class="text-muted"></span></code></code></label>
<input type="number" class="form-control" id="epoch" placeholder="Epoch">
</div>
</div>
</div>
<div class="row">
<div class="col">
</div>
<div class="col">
<button type="button" class="btn btn-outline-primary" id="start" style="width: 100%">START</button>
</div>
</div>
<hr/>
<div class="row">
<div class="col">
<div class="form-group">
<label for="output">Output</label>
<input type="number" class="form-control" id="output" placeholder="Output" disabled>
</div>
</div>
<div class="col">
<div class="form-group">
<label for="mse">MSE</label>
<input type="text" class="form-control" id="mse" placeholder="MSE" disabled>
</div>
</div>
</div>
<div class="row">
<div class="col">
<div class="form-group">
<label for="etime">Elapsed Time</label>
<input type="text" class="form-control" id="etime" placeholder="Elapsed Time" disabled>
</div>
</div>
<div class="col">
</div>
</div>
</form>
<hr/>
<form>
<div class="row">
<div class="col">
<div class="form-group">
<label for="w1">W1</label>
<input type="number" class="form-control" id="w1" placeholder="W1" disabled>
</div>
</div>
<div class="col">
<div class="form-group">
<label for="w2">W2</label>
<input type="number" class="form-control" id="w2" placeholder="W2" disabled>
</div>
</div>
</div>
<div class="row">
<div class="col">
<div class="form-group">
<label for="W3">W3</label>
<input type="number" class="form-control" id="w3" placeholder="W3" disabled>
</div>
</div>
<div class="col">
<div class="form-group">
<label for="W4">W4</label>
<input type="number" class="form-control" id="w4" placeholder="W4" disabled>
</div>
</div>
</div>
<div class="row">
<div class="col">
<div class="form-group">
<label for="W5">W5</label>
<input type="number" class="form-control" id="w5" placeholder="W5" disabled>
</div>
</div>
<div class="col">
<div class="form-group">
<label for="W6">W6</label>
<input type="number" class="form-control" id="w6" placeholder="W6" disabled>
</div>
</div>
</div>
<div class="row">
<div class="col">
<div class="form-group">
<label for="W7">W7</label>
<input type="number" class="form-control" id="w7" placeholder="W7" disabled>
</div>
</div>
<div class="col">
</div>
</div>
</form>
<hr/>
</div>
<script type="text/javascript">
let nn;//neural network
$("#start").click(function(){
lr = $("#lr").val();
e = $("#epoch").val();
generate_ai(lr, e);
})
function generate_ai(lr, e){//Lr learning Rate, e Epoch
let training_data =[{
inputs : [0.05, 0.1],
outputs : [0.99]
}];
let start_time = Date.now();
nn = new NeuNet(
2, 2, 1, 1,//i, h1, h2, T
[
[0.2, -0.3],//w1 w2
[0.15, -0.5]//w3 w4
],
[1, 1],//b1
[
[-0.4, 0.3]//w5 w6
],
[0.5],//b2
[
[0.25]//w7
],
[1]//b3
)
for(n = 0; n < e; n++){//e
for(i = 0; i < 50; i++){
a = nn.training(training_data[0].inputs, training_data[0].outputs)
}
nn.setLearningRate(lr);//lr
y = nn.prediction(training_data[0].inputs);
let elapsed_time = (Date.now() - start_time)/1000;
if(n == (e-1)){
$("#mse").val(`${a[0].toFixed(4)} %`);
$("#output").val(`${y[0].toFixed(4)}`);
$("#etime").val(`${elapsed_time} seconds`);
}
}
}
</script>
<script src="https://code.jquery.com/jquery-3.3.1.slim.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.7/umd/popper.min.js"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js"></script>
</body>
</html>