<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>TensorFlow Keras on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/tensorflow-keras/</link><description>Recent content in TensorFlow Keras on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 17 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/tensorflow-keras/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 5: Model Training, Evaluation &amp;amp; Hyperparameter Tuning</title><link>https://ai-blog.noorshomelab.dev/ai-ml-career-path-2026/model-training-evaluation/</link><pubDate>Sat, 17 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-ml-career-path-2026/model-training-evaluation/</guid><description>&lt;h2 id="introduction-sharpening-your-models-skills"&gt;Introduction: Sharpening Your Model&amp;rsquo;s Skills&lt;/h2&gt;
&lt;p&gt;Welcome back, future AI/ML expert! In previous chapters, we laid the groundwork by understanding the mathematical and programming foundations, exploring data, and even building our first simple models. But a model, no matter how well-designed, is just potential until it&amp;rsquo;s properly trained and evaluated.&lt;/p&gt;
&lt;p&gt;This chapter is where your models truly come to life. We&amp;rsquo;ll embark on a journey through the heart of machine learning: the training process. You&amp;rsquo;ll learn how to teach your models to identify patterns, how to objectively measure their performance, and most importantly, how to fine-tune them to achieve peak effectiveness. Think of it as guiding your model through a rigorous education, complete with exams and personalized study plans!&lt;/p&gt;</description></item></channel></rss>