<?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>Digits Classifier on Reinforcement Learning Curriculum</title>
    <link>https://codefrydev.in/Reinforcement/tags/digits-classifier/</link>
    <description>Recent content in Digits Classifier on Reinforcement Learning Curriculum</description>
    <image>
      <title>Reinforcement Learning Curriculum</title>
      <url>https://codefrydev.in/Reinforcement/og-default.png</url>
      <link>https://codefrydev.in/Reinforcement/og-default.png</link>
    </image>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://codefrydev.in/Reinforcement/tags/digits-classifier/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>DL Mini-Project: Digits Classifier in NumPy</title>
      <link>https://codefrydev.in/Reinforcement/dl-foundations/dl-mini-project/</link>
      <pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://codefrydev.in/Reinforcement/dl-foundations/dl-mini-project/</guid>
      <description>Build a 2-layer MLP to classify handwritten digits using only NumPy. Full pipeline: data, init, training, evaluation.</description>
    </item>
  </channel>
</rss>
