<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Knowledge Points on Shaowen Chen's Website</title><link>https://www.chenshaowen.com/en/tags/knowledge-points/</link><description>Recent content in Knowledge Points on Shaowen Chen's Website</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>&amp;copy;2016 - {year}, All Rights Reserved.</copyright><lastBuildDate>Fri, 18 Aug 2023 11:22:55 +0000</lastBuildDate><sy:updatePeriod>weekly</sy:updatePeriod><atom:link href="https://www.chenshaowen.com/en/tags/knowledge-points/atom.xml" rel="self" type="application/rss+xml"/><item><title>AI Fundamentals</title><link>https://www.chenshaowen.com/en/blog/ai-basic-knowledge.html</link><pubDate>Fri, 18 Aug 2023 11:22:55 +0000</pubDate><atom:modified>Fri, 18 Aug 2023 11:22:55 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/ai-basic-knowledge.html</guid><description>1. Keywords Machine Learning (ML)
The technology of automatically acquiring knowledge from data.
Neural Network (NN)
A model that imitates the structure and learning mechanism of biological neural networks; one of the branches of machine learning.
The structure of a neural network consists of an input layer, hidden layers, and an output layer.</description><dc:creator>微信公众号</dc:creator><category>AI</category><category>LLM</category><category>Machine Learning</category><category>Knowledge Points</category><category>Learning</category></item></channel></rss>