<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CNN on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/cnn/</link><description>Recent content in CNN 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/cnn/index.xml" rel="self" type="application/rss+xml"/><item><title>TensorFlow Guide: Guided Project 1 - Image Classification with CNNs</title><link>https://ai-blog.noorshomelab.dev/tensorflow-guide/guided-project-1-image-classification-with-cnns/</link><pubDate>Sun, 26 Oct 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/tensorflow-guide/guided-project-1-image-classification-with-cnns/</guid><description>&lt;h2 id="7-guided-project-1-image-classification-with-cnns"&gt;7. Guided Project 1: Image Classification with CNNs&lt;/h2&gt;
&lt;p&gt;This project will guide you through building a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset. CIFAR-10 consists of 60,000 32x32 color images in 10 classes (e.g., airplane, automobile, bird, cat). This project will solidify your understanding of data pipelines, model building with Keras, and training strategies.&lt;/p&gt;
&lt;h3 id="project-objective"&gt;Project Objective&lt;/h3&gt;
&lt;p&gt;Build and train a CNN model capable of classifying CIFAR-10 images with reasonable accuracy.&lt;/p&gt;</description></item></channel></rss>