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    <title>PyTorch on Rahul Bhati</title>
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      <title>Neural Networks From Scratch: Layer by Layer</title>
      <link>https://therahulbhati.github.io/posts/nn-from-scratch/</link>
      <pubDate>Wed, 01 Jul 2026 21:00:00 +0530</pubDate>
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      <description>&lt;p&gt;A neural network is a chain of functions. Each layer takes a tensor in, does one simple mathematical operation, and passes a tensor out. There&amp;rsquo;s no magic in it. It&amp;rsquo;s linear algebra, a nonlinearity, and calculus, repeated.&lt;/p&gt;
&lt;p&gt;Here&amp;rsquo;s the chain in the order data actually flows through it: forward pass first, then how it learns. Every equation gets paired with its exact PyTorch equivalent, so you can see where the math actually lives in code.&lt;/p&gt;</description>
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