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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>Asymptotic Labs (Posts about TensorFlow)</title><link>http://asymptoticlabs.com/</link><description></description><atom:link href="http://asymptoticlabs.com/categories/tensorflow.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><copyright>Contents © 2022 &lt;a href="mailto:quidditymaster@gmail.com"&gt;Tim Anderton&lt;/a&gt; </copyright><lastBuildDate>Wed, 31 Aug 2022 21:28:20 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Learning TensorFlow via a 3D printing Project</title><link>http://asymptoticlabs.com/posts/TensorFlowSLCPY.html</link><dc:creator>Tim Anderton</dc:creator><description>&lt;div class="cell border-box-sizing text_cell rendered"&gt;&lt;div class="prompt input_prompt"&gt;
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&lt;p&gt;This is a slightly cleaned up version of the slides for a presentation I gave at the SLCPy meetup a while ago. I intended to write something with nice prose and turn it into something that can stand on its own without the verbal commentary that went along with it, but that isn't going to happen so here are the raw slides.&lt;/p&gt;
&lt;p&gt;&lt;a href="http://asymptoticlabs.com/posts/TensorFlowSLCPY.html"&gt;Read more…&lt;/a&gt; (17 min remaining to read)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/body&gt;&lt;/html&gt;
</description><category>3D printing</category><category>awesomeness</category><category>gradient descent</category><category>machine learning</category><category>mathjax</category><category>TensorFlow</category><guid>http://asymptoticlabs.com/posts/TensorFlowSLCPY.html</guid><pubDate>Thu, 07 Sep 2017 06:00:00 GMT</pubDate></item></channel></rss>