<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neural-Networks on DATATWEETS</title><link>https://datatweets.com/tags/neural-networks/</link><description>Recent content in Neural-Networks on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2026 Datatweets</copyright><lastBuildDate>Sun, 12 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://datatweets.com/tags/neural-networks/index.xml" rel="self" type="application/rss+xml"/><item><title>TensorFlow and Keras: A Practical Introduction to Neural Networks</title><link>https://datatweets.com/tutorials/intro-to-tensorflow/</link><pubDate>Sun, 12 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/tutorials/intro-to-tensorflow/</guid><description>A hands-on first neural network: load the MNIST digits dataset, normalize it, stack Dense layers with Keras&amp;rsquo;s Sequential API, compile a loss function and optimizer, then train and evaluate the model with real per-epoch numbers from an actual run.</description></item></channel></rss>