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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
<title>Kim CNN In-Browser Demo</title>
<script src="https://code.jquery.com/jquery-2.1.3.min.js" integrity="sha256-ivk71nXhz9nsyFDoYoGf2sbjrR9ddh+XDkCcfZxjvcM="
crossorigin="anonymous"></script>
<script src="bootstrap/bootstrap.min.js"></script>
<link rel="stylesheet" href="bootstrap/bootstrap.min.css">
<link rel="stylesheet" href="css/default.css">
</head>
<body>
<nav class="navbar navbar-inverse navbar-fixed-top">
<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false" aria-controls="navbar">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="./index.html">Kim CNN In-Browser Demo</a>
</div>
<div id="navbar" class="collapse navbar-collapse">
<ul class="nav navbar-nav">
<li class="active"><a href="./index.html">Home</a></li>
<li><a href="./indexing-demo.html">Indexing</a></li>
<li><a href="./search-demo.html">Inference</a></li>
<li><a href="./kimcnn-demo.html">Feature Map Activations</a></li>
<li><a href="./filter-demo.html">Individual Filter Activations</a></li>
</ul>
</div><!--/.nav-collapse -->
</div>
</nav>
<div class="container">
<div class="page-header">
<h1>Kim CNN In-Browser Demo</h1>
<p class="lead">CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities</p>
</div>
<p>We demonstrate a JavaScript implementation of a convolutional neural network that performs
feedforward inference completely in the browser. Such a deployment means that models
can run completely on the client, on a wide range of devices, without making backend
server requests. This design is useful for applications with stringent latency requirements
or low connectivity. Our evaluations show the feasibility of JavaScript as a deployment target.
Furthermore, an in-browser implementation enables seamless integration with the
JavaScript ecosystem for information visualization, providing opportunities to visually inspect
neural networks and better understand their inner workings.</p>
</div>
</body>
</html>