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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta content="width=device-width, initial-scale=1.0" name="viewport">
<title>Henry Wu - Project Details</title>
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<h1 class="text-light"><a href="index.html">Henry Wu</a></h1>
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<h2>Project Details</h2>
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<li>Project Details</li>
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<img src="assets/img/handwriting-screenshot3.PNG" class="img-fluid" alt="">
</div>
<div class="portfolio-info">
<ul>
<li><strong>Project date</strong>: June, 2020</li>
<li><strong>Github link</strong>: <a target="_blank" href="https://github.com/Tusk98/Handwriting">Handwriting Recognizer</a></li>
</ul>
</div>
</div>
<div class="portfolio-description">
<h2>Handwriting Recognizer</h2>
<strong style="font-size:120%">Background:</strong>
<p>Through my IBM certificate I had heard of the many modern applications of machine learning and data science and began to explore those applications online.
Through exploring these online through articles and blog posts I stumbled upon Handwriting recognition and immediately became curious and attracted to this facet of machine learning.
<br> I wanted to do a project with handwriting recognition and began the project.
</p>
<strong style="font-size:120%">Challenges:</strong>
<p> There were several challenges I had encountered while working on this recognizer.
<br> The 1st problem I encountered was the that in online tutorials, although they created and trained a model on MNIST data and evaluated the model on a split data set,
it was did not accept individual images, so I had to figure out how to have the model accept individual images and attempt to recognize what digit it is.
The 2nd problem was that model didn't save itself, so I had to find a way to save the trained model to avoid having
to recompile each and every time which took up to 10 minutes.
Lastly I had to find a way to create a GUI for writing digits to feed into the model.
<br>
Overall these challenges forced me to understand the code and how it's creating a model to recognize code in order to design a recognizer that takes in live inputs.
</p>
<strong style="font-size:120%">Future plans:</strong>
<p>After completing what I have currently, I hope to be able to learn how to create a recognizer for handwritten alphabets so that it can recognize written letters as well.
</p>
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Email: <a href="mailto:henry.wu9807@gmail.com" title="Henry's email">Henry.wu9807@gmail.com<br></a>
Phone: +1 (647) 631-3201
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