<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects | Georg Lange</title><link>https://georglange.com/project/</link><atom:link href="https://georglange.com/project/index.xml" rel="self" type="application/rss+xml"/><description>Projects</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 26 Oct 2022 00:00:00 +0000</lastBuildDate><image><url>https://georglange.com/media/icon_hu12340157806326524241.png</url><title>Projects</title><link>https://georglange.com/project/</link></image><item><title>Fibermagic</title><link>https://georglange.com/project/fibermagic/</link><pubDate>Wed, 26 Oct 2022 00:00:00 +0000</pubDate><guid>https://georglange.com/project/fibermagic/</guid><description>&lt;p>Fibermagic is a Python library for large-scale analysis of fiber photometry data.&lt;/p></description></item><item><title>Online Course on Deep Learning for Computer Vision</title><link>https://georglange.com/project/online_course/</link><pubDate>Fri, 20 Mar 2020 00:00:00 +0000</pubDate><guid>https://georglange.com/project/online_course/</guid><description>&lt;p>This online course provides a comprehensive introduction to neural networks and deep learning, with a focus on computer vision applications. Starting from the theoretical foundations of artificial intelligence, the course covers both practical implementations and advanced concepts. Students learn how neural networks function, how to develop and deploy them, and explore training algorithms through hands-on exercises. The course also teaches optimization techniques and strategies for training with limited data. By the end, participants will understand how to build and optimize neural networks for their own applications.&lt;/p></description></item></channel></rss>