<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<oembed>
  <author_name>TJO</author_name>
  <author_url>https://blog.hatena.ne.jp/TJO/</author_url>
  <blog_title>Data Scientist TJO in Tokyo</blog_title>
  <blog_url>https://tjo-en.hatenablog.com/</blog_url>
  <categories>
    <anon>R</anon>
    <anon>machine learning</anon>
    <anon>data science</anon>
  </categories>
  <description>For a while (at least several months since many people began to implement it with Python and/or Theano, PyLearn2 or something like that), nearly I've given up practicing Deep Learning with R and I've felt I was left alone much further away from advanced technology... But now we (not only I!) have a …</description>
  <height>190</height>
  <html>&lt;iframe src=&quot;https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftjo-en.hatenablog.com%2Fentry%2F2015%2F02%2F15%2F194003&quot; title=&quot;What kind of decision boundaries does Deep Learning (Deep Belief Net) draw? Practice with R and {h2o} package - Data Scientist TJO in Tokyo&quot; class=&quot;embed-card embed-blogcard&quot; scrolling=&quot;no&quot; frameborder=&quot;0&quot; style=&quot;display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;&quot;&gt;&lt;/iframe&gt;</html>
  <image_url>http://cdn-ak.f.st-hatena.com/images/fotolife/T/TJO/20140106/20140106225602.png</image_url>
  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2015-02-15 19:40:03</published>
  <title>What kind of decision boundaries does Deep Learning (Deep Belief Net) draw? Practice with R and {h2o} package</title>
  <type>rich</type>
  <url>https://tjo-en.hatenablog.com/entry/2015/02/15/194003</url>
  <version>1.0</version>
  <width>100%</width>
</oembed>
