<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Learning | Lisa Batista</title><link>https://www.lisabatista.com/tag/deep-learning/</link><atom:link href="https://www.lisabatista.com/tag/deep-learning/index.xml" rel="self" type="application/rss+xml"/><description>Deep Learning</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Wed, 10 Nov 2021 15:00:00 +0000</lastBuildDate><image><url>https://www.lisabatista.com/media/icon_hue297713b36713ef119054bee27ca1811_25756_512x512_fill_lanczos_center_3.png</url><title>Deep Learning</title><link>https://www.lisabatista.com/tag/deep-learning/</link></image><item><title>Modeling road network time series using a hidden Markov random field</title><link>https://www.lisabatista.com/talk/modeling-road-network-time-series-using-a-hidden-markov-random-field/</link><pubDate>Wed, 10 Nov 2021 15:00:00 +0000</pubDate><guid>https://www.lisabatista.com/talk/modeling-road-network-time-series-using-a-hidden-markov-random-field/</guid><description/></item><item><title>Road extraction by deep neural network</title><link>https://www.lisabatista.com/talk/road-extraction-by-deep-neural-network/</link><pubDate>Thu, 29 Oct 2020 13:00:00 +0000</pubDate><guid>https://www.lisabatista.com/talk/road-extraction-by-deep-neural-network/</guid><description/></item></channel></rss>