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    <title>Design-Choices on Chandras Edu | AI, US Stocks, Courses &amp; Jobs India</title>
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      <title>An Example: Face Recognition Using Backpropagation</title>
      <link>https://chandrashaker.in/courses/paiml/unit4/face-recognition/</link>
      <pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;unit-4-navigation&#34;&gt;Unit 4 Navigation&lt;/h2&gt;&#xA;&lt;p&gt;&lt;strong&gt;← &lt;a href=&#34;https://chandrashaker.in/courses/paiml/unit4/remarks-backpropagation/&#34;&gt;Remarks on Backpropagation&lt;/a&gt;&lt;/strong&gt;&#xA; | &#xA;&lt;strong&gt;Next → &lt;a href=&#34;https://chandrashaker.in/courses/paiml/unit4/advanced-error-functions/&#34;&gt;Advanced Topics: Error Functions&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;&#xA;&lt;hr&gt;&#xA;&lt;h2 id=&#34;47-face-recognition-with-backpropagation&#34;&gt;4.7 Face Recognition with Backpropagation&lt;/h2&gt;&#xA;&lt;p&gt;This section walks through applying Backpropagation to a real learning task — recognising which direction a person is facing from a camera image. It illustrates the &lt;strong&gt;design decisions&lt;/strong&gt; every ANN practitioner must make, and what the network actually learns internally.&lt;/p&gt;&#xA;&lt;hr&gt;&#xA;&lt;h2 id=&#34;471-the-task&#34;&gt;4.7.1 The Task&lt;/h2&gt;&#xA;&lt;h3 id=&#34;dataset&#34;&gt;Dataset&lt;/h3&gt;&#xA;&lt;table&gt;&#xA;  &lt;thead&gt;&#xA;      &lt;tr&gt;&#xA;          &lt;th&gt;Property&lt;/th&gt;&#xA;          &lt;th&gt;Detail&lt;/th&gt;&#xA;      &lt;/tr&gt;&#xA;  &lt;/thead&gt;&#xA;  &lt;tbody&gt;&#xA;      &lt;tr&gt;&#xA;          &lt;td&gt;Total images&lt;/td&gt;&#xA;          &lt;td&gt;624 greyscale images&lt;/td&gt;&#xA;      &lt;/tr&gt;&#xA;      &lt;tr&gt;&#xA;          &lt;td&gt;Subjects&lt;/td&gt;&#xA;          &lt;td&gt;20 different people&lt;/td&gt;&#xA;      &lt;/tr&gt;&#xA;      &lt;tr&gt;&#xA;          &lt;td&gt;Images per person&lt;/td&gt;&#xA;          &lt;td&gt;~32&lt;/td&gt;&#xA;      &lt;/tr&gt;&#xA;      &lt;tr&gt;&#xA;          &lt;td&gt;Image resolution&lt;/td&gt;&#xA;          &lt;td&gt;120 × 128 pixels&lt;/td&gt;&#xA;      &lt;/tr&gt;&#xA;      &lt;tr&gt;&#xA;          &lt;td&gt;Pixel depth&lt;/td&gt;&#xA;          &lt;td&gt;Greyscale, 0–255&lt;/td&gt;&#xA;      &lt;/tr&gt;&#xA;  &lt;/tbody&gt;&#xA;&lt;/table&gt;&#xA;&lt;p&gt;&lt;strong&gt;Variations within the dataset:&lt;/strong&gt;&lt;/p&gt;</description>
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