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DigitClassification.html
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<!DOCTYPE HTML>
<!--
Prologue by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>Portfolio by Keean Ferreira</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
</head>
<body class="is-preload">
<!-- Header -->
<div id="header">
<div class="top">
<!-- Logo -->
<div id="logo">
<span class="image avatar48"><img src="images/avatar.jpg" alt="" /></span>
<h1 id="title">Keean Ferreira</h1>
<p>BSc Computer Science</p>
</div>
<!-- Nav -->
<nav id="nav">
<ul>
<li><a href="index.html" id="top-link"><span class="icon solid fa-home">Intro</span></a></li>
<li><a href="index.html#portfolio" id="portfolio-link"><span class="icon solid fa-th">Portfolio</span></a></li>
<li><a href="index.html#about" id="about-link"><span class="icon solid fa-user">About Me</span></a></li>
<li><a href="index.html#contact" id="contact-link"><span class="icon solid fa-envelope">Contact</span></a></li>
</ul>
</nav>
</div>
<div class="bottom">
<!-- Social Icons -->
<ul class="icons">
<li><a href="https://twitter.com/KeeanFerreira" class="icon brands fa-twitter"><span class="label">Twitter</span></a></li>
<li><a href="https://www.facebook.com/keean.ferreira/" class="icon brands fa-facebook-f"><span class="label">Facebook</span></a></li>
<li><a href="https://github.com/Keean07" class="icon brands fa-github"><span class="label">Github</span></a></li>
<!-- <li><a href="#" class="icon brands fa-dribbble"><span class="label">Dribbble</span></a></li> -->
<li><a href="keeanferreira07@gmail.com" class="icon solid fa-envelope"><span class="label">Email</span></a></li>
</ul>
</div>
</div>
<!-- Main -->
<div id="main">
<!-- Intro -->
<section id="top" class="one dark cover">
<div class="container">
<header>
<h2 class="alt">Digit Classification with TensorFlow</h2>
<p>In this project I used TensorFlow to train a model that classifies images of digits into number classes.
</p>
</header>
<!-- <footer>
<a href="#portfolio" class="button scrolly">Portfolio</a>
</footer> -->
</div>
</section>
<!-- About Me -->
<section id="about" class="three">
<div class="container">
<header>
<h3>About this project</h3>
</header>
<p>
This project required me to use Keras atop TensorFlow to train a model to classify a set of images into number classes.
<br>I used the MNIST dataset for this single-label, multiclass classification problem.
The dataset contained 70 000 samples, and I used 60 000 for training and 10 000 for testing.
<br>The input to this model was images, and the output was a set of probabilities determining which number the images most likely contains.
</p>
<footer>
<a href="DigitClassification/NotebookHTML.html" class="button scrolly" target="_blank">Open Jupyter Notebook</a>
</footer>
</div>
</section>
<!-- Portfolio -->
<section id="portfolio" class="two">
</section>
</div>
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<div id="footer">
<!-- Copyright -->
<ul class="copyright">
<li>© Untitled. All rights reserved.</li><li>Design: <a href="http://html5up.net">HTML5 UP</a></li>
</ul>
</div>
<!-- Scripts -->
<script src="assets/js/jquery.min.js"></script>
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</body>
</html>