<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Neural Networks on 3rd layer</title><link>https://3rdlayer.uk/tags/neural-networks/</link><description>Recent content in Neural Networks on 3rd layer</description><generator>Hugo -- 0.154.5</generator><language>en-US</language><lastBuildDate>Fri, 03 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://3rdlayer.uk/tags/neural-networks/index.xml" rel="self" type="application/rss+xml"/><item><title>A ReLU Network Is One Giant Piecewise-Affine Function</title><link>https://3rdlayer.uk/posts/relu-piecewise-affine/</link><pubDate>Fri, 03 Jul 2026 00:00:00 +0000</pubDate><guid>https://3rdlayer.uk/posts/relu-piecewise-affine/</guid><description>A network with ReLU activations secretly carves input space into polytope pieces and, on each piece, collapses into exactly one affine map. This post builds that view up from a single neuron to interactive demos.</description></item></channel></rss>