<?xml version="1.0" encoding="utf-8"?>
<?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>Bounded Rationality (Posts about deep learning)</title><link>http://bjlkeng.github.io/</link><description></description><atom:link href="http://bjlkeng.github.io/categories/deep-learning.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Tue, 10 Mar 2026 20:54:59 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Annotated Deep Learning Course</title><link>http://bjlkeng.github.io/posts/annotated-deep-learning-course/</link><dc:creator>Brian Keng</dc:creator><description>&lt;div&gt;&lt;p&gt;For the past five years, one of the most enjoyable things I've done outside of
my day job is teaching. From 2020 to 2025, I had the pleasure of teaching a
course in the Master of Management Analytics (MMA) program at the Rotman School
of Management (UofT). Now that I've wrapped up that course (on to the next
one), I decided to package up the material and put it online for posterity.&lt;/p&gt;
&lt;p&gt;You can find the full set of annotated lecture notes here: &lt;a class="reference external" href="https://dlcourse.bjlkeng.io/"&gt;dlcourse.bjlkeng.io&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;&lt;a href="http://bjlkeng.github.io/posts/annotated-deep-learning-course/"&gt;Read more…&lt;/a&gt; (1 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>annotated</category><category>course</category><category>deep learning</category><category>Rotman</category><guid>http://bjlkeng.github.io/posts/annotated-deep-learning-course/</guid><pubDate>Tue, 10 Mar 2026 20:41:56 GMT</pubDate></item></channel></rss>