<?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>Natural-Gradient on 3rd layer</title><link>https://3rdlayer.uk/ja/tags/natural-gradient/</link><description>Recent content in Natural-Gradient on 3rd layer</description><generator>Hugo -- 0.154.5</generator><language>ja-JP</language><lastBuildDate>Sat, 09 Jan 2021 00:00:00 +0000</lastBuildDate><atom:link href="https://3rdlayer.uk/ja/tags/natural-gradient/index.xml" rel="self" type="application/rss+xml"/><item><title>情報幾何学：AIはどのように「最も効率的に」学ぶのか</title><link>https://3rdlayer.uk/ja/posts/information-geometry/</link><pubDate>Sat, 09 Jan 2021 00:00:00 +0000</pubDate><guid>https://3rdlayer.uk/ja/posts/information-geometry/</guid><description>ニュートンのF=maが物理世界を説明するように、情報幾何学はAIの学習過程を説明します。初心者向けの直感的な解説。</description></item></channel></rss>