<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LSTM on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/lstm/</link><description>Recent content in LSTM 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/lstm/index.xml" rel="self" type="application/rss+xml"/><item><title>TensorFlow Guide: Guided Project 2 - Text Generation with LSTMs</title><link>https://ai-blog.noorshomelab.dev/tensorflow-guide/guided-project-2-text-generation-with-lstms/</link><pubDate>Sun, 26 Oct 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/tensorflow-guide/guided-project-2-text-generation-with-lstms/</guid><description>&lt;h2 id="8-guided-project-2-text-generation-with-lstms"&gt;8. Guided Project 2: Text Generation with LSTMs&lt;/h2&gt;
&lt;p&gt;In this project, you&amp;rsquo;ll build a character-level text generation model using Long Short-Term Memory (LSTM) networks, a type of Recurrent Neural Network (RNN). The model will learn patterns in text and then be able to generate new sequences of characters, essentially writing new &amp;ldquo;sentences&amp;rdquo; based on what it learned.&lt;/p&gt;
&lt;h3 id="project-objective"&gt;Project Objective&lt;/h3&gt;
&lt;p&gt;Build an LSTM-based model to generate creative text, trained on a classic text dataset. We&amp;rsquo;ll use a portion of Shakespeare&amp;rsquo;s works.&lt;/p&gt;</description></item></channel></rss>