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      <title>Machine Learning by ng mh</title>
      <link>https://padlet.com/ngmh/fse1u96egikr</link>
      <description>Machine learning writes these blog posts</description>
      <language>en-us</language>
      <pubDate>2019-01-22 08:35:25 UTC</pubDate>
      <lastBuildDate>2024-04-16 07:15:49 UTC</lastBuildDate>
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         <title>22/1/2019 (#1)</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/322878181</link>
         <description><![CDATA[<div>Testing<br>Project Ideas<br>- Binner title generator<br>- How many likes will this video get?<br>- Plagiarism Detector<br>- Rubik's Cube Solver<br>- Robot Soccer<br><br>Please read:</div>]]></description>
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         <pubDate>2019-01-22 08:39:41 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/322878181</guid>
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      <item>
         <title>29/1/2019 (#2)</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/325269899</link>
         <description><![CDATA[<div>Tasks<br>- Supervised<br>Labels and example inputs are given, creates criteria<br>- Unsupervised<br>Inputs are given, find pattern by itself<br>- Reinforcement<br>Learning through experimentation, not input explicitly given to learn from, such as games against opponents<br><br>Outputs<br>- Single Value<br>- Function</div>]]></description>
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         <pubDate>2019-01-29 08:00:32 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/325269899</guid>
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      <item>
         <title>Epic</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/332559929</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2019-02-19 06:53:31 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/332559929</guid>
      </item>
      <item>
         <title>Best Youtuber</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/332560087</link>
         <description><![CDATA[]]></description>
         <enclosure url="https://www.youtube.com/channel/UCw3vS3CgZy8ClpSmAm-1tuw" />
         <pubDate>2019-02-19 06:54:42 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/332560087</guid>
      </item>
      <item>
         <title>CEP Test</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353263117</link>
         <description><![CDATA[<div>I didn't prepare<br>It was very muggable</div>]]></description>
         <enclosure url="" />
         <pubDate>2019-04-23 07:08:09 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353263117</guid>
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      <item>
         <title>(1) Description of Machine Learner</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353263307</link>
         <description><![CDATA[<ul><li>What have you done so far?</li></ul><div>We've found a sample video and worked on identifying objects in frames.   </div><ul><li>What have you achieved?</li></ul><div>We've extracted individual frames and used Microsoft Cognitive Services to identify objects present. We have replaced Microsoft Cognitive Serivces with image-ai as they have an API limit and require an internet connection.</div><ul><li>What are the next steps?</li></ul><div>The next steps are to capture multiple pictures of the target by possibly using meanshift. Then, these images will be used to train a learner to identify if a person matches the target or not.</div>]]></description>
         <enclosure url="" />
         <pubDate>2019-04-23 07:09:21 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353263307</guid>
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      <item>
         <title>Cool Bean</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353264651</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2019-04-23 07:17:17 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353264651</guid>
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      <item>
         <title>(2) Screenshots of Code</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353264902</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 07:18:52 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353264902</guid>
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      <item>
         <title></title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353264984</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 07:19:18 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353264984</guid>
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      <item>
         <title>(2) Screenshots of Code</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353265219</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 07:20:34 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353265219</guid>
      </item>
      <item>
         <title>(3) Description of your Application</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353265603</link>
         <description><![CDATA[<ul><li>What have you done so far?</li></ul><div>We've allowed users to run Python files and see the objects identified in the video.</div><ul><li>What have you achieved?</li></ul><div>We have one file to generate frames, and another to detect objects and produce results for each frame.</div><ul><li>What are the next steps?</li></ul><div>We have to allow users to choose the object to track, as well as allow users to submit multiple video clips, as well as make a proper </div>]]></description>
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         <pubDate>2019-04-23 07:23:02 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353265603</guid>
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      <item>
         <title></title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353265850</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 07:24:27 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353265850</guid>
      </item>
      <item>
         <title>(4) Screenshots of Code</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353266604</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 07:28:35 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353266604</guid>
      </item>
      <item>
         <title>(4) Screenshots of Code</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353266743</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 07:29:02 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353266743</guid>
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      <item>
         <title></title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353266954</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 07:30:16 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353266954</guid>
      </item>
      <item>
         <title></title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353267060</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 07:30:43 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353267060</guid>
      </item>
      <item>
         <title></title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353267112</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 07:31:02 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353267112</guid>
      </item>
      <item>
         <title>(5) Screencast</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353270166</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 07:51:03 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353270166</guid>
      </item>
      <item>
         <title>(6) Estimate of completion percentage for Machine Learner and Application</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353270933</link>
         <description><![CDATA[<div>Machine Learner - 40%<br>Application - 1%</div>]]></description>
         <enclosure url="" />
         <pubDate>2019-04-23 07:56:15 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353270933</guid>
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      <item>
         <title>(7) Detailed breakdown of tasks so as to achieve completion by 21 May (Presentation Day)</title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353271143</link>
         <description><![CDATA[<div>30 Apr<br>Finish extracting frames of person and training classifier<br>7 May<br>Search all video files for person and identify relevant portions of video<br>Starting working on application<br>14 May</div><div>Finish application</div>]]></description>
         <enclosure url="" />
         <pubDate>2019-04-23 07:57:36 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353271143</guid>
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         <title></title>
         <author>ngmh</author>
         <link>https://padlet.com/ngmh/fse1u96egikr/wish/353271904</link>
         <description><![CDATA[]]></description>
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         <pubDate>2019-04-23 08:02:25 UTC</pubDate>
         <guid>https://padlet.com/ngmh/fse1u96egikr/wish/353271904</guid>
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