<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jupyter on Pendragon AI</title><link>https://www.pendragonai.com/tags/jupyter/</link><description>Recent content in Jupyter on Pendragon AI</description><generator>Hugo</generator><language>en-us</language><copyright>Andre Oporto 2020 -</copyright><lastBuildDate>Thu, 30 Nov 2023 01:39:21 +0000</lastBuildDate><atom:link href="https://www.pendragonai.com/tags/jupyter/index.xml" rel="self" type="application/rss+xml"/><item><title>Setup TensorFlow with GPU acceleration using Windows, Docker and WSL2</title><link>https://www.pendragonai.com/setup-tensorflow-gpu-windows-docker-wsl2/</link><pubDate>Thu, 30 Nov 2023 01:39:21 +0000</pubDate><guid>https://www.pendragonai.com/setup-tensorflow-gpu-windows-docker-wsl2/</guid><description>One of the fastest ways to get started with TensorFlow and Keras on your local developer machine is using Docker on a Windows machine with an NVIDIA GPU.</description></item><item><title>Caching Deep Learning Models with TensorFlow, Keras and PTMLib</title><link>https://www.pendragonai.com/caching-deep-learning-models-with-tensorflow-keras-and-ptmlib/</link><pubDate>Thu, 17 Mar 2022 11:57:41 +0000</pubDate><guid>https://www.pendragonai.com/caching-deep-learning-models-with-tensorflow-keras-and-ptmlib/</guid><description>Save Machine Learning models, time, and energy (and maybe even the planet)</description></item><item><title>Three Tips for Learning AI and Machine Learning</title><link>https://www.pendragonai.com/three-tips-for-learning-ai-and-machine-learning/</link><pubDate>Tue, 02 Mar 2021 19:17:53 +0000</pubDate><guid>https://www.pendragonai.com/three-tips-for-learning-ai-and-machine-learning/</guid><description>You don&amp;rsquo;t need to spend a lot to learn AI and ML right now&amp;hellip;</description></item></channel></rss>