<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neural-Networks on jdcsen</title><link>https://jdcsen.com/tags/neural-networks/</link><description>Recent content in Neural-Networks on jdcsen</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 01 Jan 1970 00:33:39 +0000</lastBuildDate><atom:link href="https://jdcsen.com/tags/neural-networks/index.xml" rel="self" type="application/rss+xml"/><item><title>Honors Undergraduate Thesis</title><link>https://jdcsen.com/projects/honors-thesis/</link><pubDate>Thu, 01 Jan 1970 00:33:39 +0000</pubDate><guid>https://jdcsen.com/projects/honors-thesis/</guid><description>&lt;ul&gt;&#10;&lt;li&gt;Intended to provide a machine-learning based replacement for the L-BFGS-B gradient descent approach used by &lt;a href="https://jdcsen.com/projects/dragline/"&gt;DRAGLINE&lt;/a&gt;&lt;/li&gt;&#10;&lt;li&gt;Evaluated the performance of simple feed-forward neural networks when tasked with predicting optimal paths through racecourses.&lt;/li&gt;&#10;&lt;li&gt;Provided the author an excuse to naively apply newly acquired machine-learning knowledge to a completely inappropriate problem.&lt;/li&gt;&#10;&lt;/ul&gt;</description></item></channel></rss>