<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model Building on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/model-building/</link><description>Recent content in Model Building on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 26 Oct 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/model-building/index.xml" rel="self" type="application/rss+xml"/><item><title>TensorFlow Guide: Building Your First Neural Network with Keras</title><link>https://ai-blog.noorshomelab.dev/tensorflow-guide/building-your-first-neural-network-with-keras/</link><pubDate>Sun, 26 Oct 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/tensorflow-guide/building-your-first-neural-network-with-keras/</guid><description>&lt;h2 id="3-building-your-first-neural-network-with-keras"&gt;3. Building Your First Neural Network with Keras&lt;/h2&gt;
&lt;p&gt;Keras is a high-level API for building and training deep learning models, fully integrated into TensorFlow (&lt;code&gt;tf.keras&lt;/code&gt;). It&amp;rsquo;s designed for fast experimentation and ease of use, making it perfect for beginners. In this chapter, you&amp;rsquo;ll learn how to build, compile, and train your first neural networks using Keras.&lt;/p&gt;
&lt;h3 id="31-understanding-neural-network-basics"&gt;3.1 Understanding Neural Network Basics&lt;/h3&gt;
&lt;p&gt;Before we build, let&amp;rsquo;s briefly revisit what a neural network is at a high level:&lt;/p&gt;</description></item></channel></rss>