<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine-Learning |</title><link>https://bennetoutland.github.io/tags/machine-learning/</link><atom:link href="https://bennetoutland.github.io/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><description>Machine-Learning</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 01 Jan 2023 00:00:00 +0000</lastBuildDate><image><url>https://bennetoutland.github.io/media/icon_hu_da05098ef60dc2e7.png</url><title>Machine-Learning</title><link>https://bennetoutland.github.io/tags/machine-learning/</link></image><item><title>Deep Computer Vision Demonstration</title><link>https://bennetoutland.github.io/projects/deep-computer-vision/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://bennetoutland.github.io/projects/deep-computer-vision/</guid><description>&lt;p&gt;An outreach demonstration introducing deep computer vision to general audiences.&lt;/p&gt;
&lt;p&gt;Developed as part of department outreach efforts at South Dakota Mines:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Gave an introductory presentation on applications of deep computer vision&lt;/li&gt;
&lt;li&gt;Implemented a live object detection demonstration via a CNN&lt;/li&gt;
&lt;li&gt;Modified and stabilized research code to perform live neural style transfer (NST) for various images&lt;/li&gt;
&lt;li&gt;Created a unified demonstration GUI for different computer vision algorithms&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Reinforcement Learning Control Demonstration</title><link>https://bennetoutland.github.io/projects/reinforcement-learning-demo/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://bennetoutland.github.io/projects/reinforcement-learning-demo/</guid><description>&lt;p&gt;An outreach demonstration introducing reinforcement learning control to general audiences.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Gave an introductory presentation at an appropriate technical level for non-specialists&lt;/li&gt;
&lt;li&gt;Developed a set of demonstrations of reinforcement learning control&lt;/li&gt;
&lt;li&gt;Performed algorithm benchmarking across multiple RL approaches&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Rocker Robotics — National Robotics Challenge</title><link>https://bennetoutland.github.io/projects/rocker-national-robotics/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://bennetoutland.github.io/projects/rocker-national-robotics/</guid><description>&lt;p&gt;Rocker Robotics entry in the National Robotics Challenge Autonomous Vehicle Challenge (2021–2022).&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Competed in the National Robotics Challenge&amp;rsquo;s Autonomous Vehicle Challenge&lt;/li&gt;
&lt;li&gt;Implemented computer vision techniques to locate key features on the field&lt;/li&gt;
&lt;li&gt;Created a high-fidelity simulation environment&lt;/li&gt;
&lt;li&gt;Explored reinforcement learning control strategies&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>