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<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Daniel D. Johnson (Posts about visualization)</title><link>https://www.danieldjohnson.com/</link><description></description><atom:link href="https://www.danieldjohnson.com/categories/visualization.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><copyright>Contents © 2025 &lt;a href="mailto:daniel.dw.johnson@gmail.com"&gt;Daniel D. Johnson&lt;/a&gt; </copyright><lastBuildDate>Mon, 01 Sep 2025 09:09:05 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Discrete and Computational Geometry Projects</title><link>https://www.danieldjohnson.com/2016/04/21/dcg-projects/</link><dc:creator>Daniel D. Johnson</dc:creator><description>&lt;div&gt;&lt;p&gt;At Harvey Mudd, I'm taking a cool class called "Discrete and Computational Geometry", a special topics course taught by &lt;a href="http://satyandevadoss.org/"&gt;Professor Satyan Devadoss&lt;/a&gt;. It's a very interesting class. In lieu of normal problem sets, we instead do a bunch of group projects, each one very freeform. The basic instructions are "go make something related to this class". Here are a couple of the projects my group made:&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.danieldjohnson.com/2016/04/21/dcg-projects/"&gt;Read more…&lt;/a&gt; (2 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>algorithm</category><category>geometry</category><category>Harvey Mudd College</category><category>javascript</category><category>math</category><category>Uncategorized</category><category>visualization</category><guid>https://www.danieldjohnson.com/2016/04/21/dcg-projects/</guid><pubDate>Thu, 21 Apr 2016 12:32:31 GMT</pubDate></item><item><title>Reading an Artificial Mind: Visualizing the Neural Net</title><link>https://www.danieldjohnson.com/2015/09/15/reading-an-artificial-mind-visualizing-the-neural-net/</link><dc:creator>Daniel D. Johnson</dc:creator><description>&lt;div&gt;&lt;p&gt;In my previous post, I described my music-composing neural network. In some of the time since then, I extracted some interesting images to visualize the neural network's internal state. And this is what I got:&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.danieldjohnson.com/media/uploads/2015/09/img3.png"&gt;&lt;img src="https://www.danieldjohnson.com/media/uploads/2015/09/img3.png" alt="Network Snapshot" class="aligncenter"&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.danieldjohnson.com/2015/09/15/reading-an-artificial-mind-visualizing-the-neural-net/"&gt;Read more…&lt;/a&gt; (8 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>art</category><category>composition</category><category>music</category><category>neural network</category><category>Uncategorized</category><category>visualization</category><guid>https://www.danieldjohnson.com/2015/09/15/reading-an-artificial-mind-visualizing-the-neural-net/</guid><pubDate>Tue, 15 Sep 2015 19:51:51 GMT</pubDate></item></channel></rss>