<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>FNN - 标签 - HAKULA†CHANNEL</title><link>https://old.hakula.xyz/tags/fnn/</link><description>FNN - 标签 - HAKULA†CHANNEL</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>i@hakula.xyz (Hakula)</managingEditor><webMaster>i@hakula.xyz (Hakula)</webMaster><lastBuildDate>Sun, 02 May 2021 19:30:00 +0800</lastBuildDate><atom:link href="https://old.hakula.xyz/tags/fnn/" rel="self" type="application/rss+xml"/><item><title>PRML - Lab 2: FNN 模型</title><link>https://old.hakula.xyz/posts/note/prml/fnn/</link><pubDate>Sun, 02 May 2021 19:30:00 +0800</pubDate><author>Hakula</author><guid>https://old.hakula.xyz/posts/note/prml/fnn/</guid><description><![CDATA[<div class="featured-image">
                <img src="https://hakula-1257872502.file.myqcloud.com/images/3/article-covers/b61460f5-786b-4041-9aae-bb993a1011c1_88775351.webp" referrerpolicy="no-referrer">
            </div><p>本次作业完成了选题 1 的实验内容，利用 NumPy 实现了一个 FNN 模型，并在 MNIST 数据集上进行了训练。</p>
<p>Pattern Recognition and Machine Learning (H) @ Fudan University, spring 2021.</p>]]></description></item></channel></rss>