<?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>Lstm on Jeanphilo Blog</title><link>https://shio-chan-dev.github.io/jeanblog/tags/lstm/</link><description>Recent content in Lstm on Jeanphilo Blog</description><generator>Hugo -- 0.159.2</generator><language>en-us</language><lastBuildDate>Mon, 26 Jan 2026 16:24:56 +0800</lastBuildDate><atom:link href="https://shio-chan-dev.github.io/jeanblog/tags/lstm/index.xml" rel="self" type="application/rss+xml"/><item><title>CNN, RNN, LSTM, and Transformer: Differences and When to Use Each</title><link>https://shio-chan-dev.github.io/jeanblog/ai/architecture/cnn-rnn-lstm-transformer-comparison/</link><pubDate>Mon, 26 Jan 2026 16:24:56 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/ai/architecture/cnn-rnn-lstm-transformer-comparison/</guid><description>Using dependency path length and resource complexity, this article compares CNN, RNN, LSTM, and Transformer, and provides runnable examples plus a selection workflow.</description></item></channel></rss>