g13.html

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  <!-- Google tag (gtag.js) -->
  <meta charset="utf-8">
  <title>
   Animated AI
  </title>
  <meta content="width=device-width, initial-scale=1.0" name="viewport">
 </head>
 <body>
  <article class="markdown-body">
   <h1>
    <div>
     <img class="banner-image" src="rick.jpg" width="100%">
    </div>
   </h1>
   <p>
    I'm creating animations and instructional videos about neural networks.
        Check out my
    <a>
     Patreon
    </a>
    and
    <a>
     YouTube channel
    </a>
    !
   </p>
   <h2>
    Convolution
   </h2>
   <h3>
    The Basic Algorithm
   </h3>
   Watch the companion YouTube video:
   <a>
    Fundamental Algorithm of Convolution in Neural Networks
   </a>
   .
   <img alt="The process of convolution in neural networks with a 3x3 kernel size" height="auto" src="rick.jpg" width="960">
   <h3>
    Padding
   </h3>
   Companion video:
   <a>
    Convolution Padding - Neural Networks
   </a>
   <table>
    <tbody>
     <tr>
      <td>
       <img alt="The process of convolution in neural networks with a 3x3 kernel size" height="auto" src="rick.jpg" width="480">
      </td>
      <td>
       <img alt="The process of convolution in neural networks with a 3x3 kernel size and a padding of 'SAME', i.e., 1 pixel on the top, bottom, left, and right." height="auto" src="rick.jpg" width="480">
      </td>
     </tr>
     <tr>
      <td>
       No Padding AKA "Valid"
      </td>
      <td>
       [1,1,1,1] Padding AKA "Same"
      </td>
     </tr>
    </tbody>
   </table>
   <h3>
    Stride
   </h3>
   Companion video:
   <a>
    Stride - Convolution in Neural Networks
   </a>
   <table>
    <thead>
     <tr>
      <th>
       Stride 1
      </th>
      <th>
       Stride 2
      </th>
     </tr>
    </thead>
    <tbody>
     <tr>
      <td>
       <img alt="The process of convolution in neural networks with a 3x3 kernel size" height="auto" src="rick.jpg" width="480">
      </td>
      <td>
       <img alt="The process of convolution in neural networks with a 3x3 kernel size and a stride of 2x2" height="auto" src="rick.jpg" width="480">
      </td>
     </tr>
     <tr>
      <td>
       No Padding AKA "Valid"; Stride of 1
      </td>
      <td>
       No Padding AKA "Valid"; Stride of 2
      </td>
     </tr>
     <tr>
      <td>
       <img height="auto" src="rick.jpg" width="480">
      </td>
      <td>
       <img alt="The process of convolution in neural networks with a 3x3 kernel size, a stride of 2x2, and a padding of 'SAME', i.e., 1 pixel on the top, bottom, left, and right." height="auto" src="rick.jpg" width="480">
      </td>
     </tr>
    </tbody>
   </table>
   <h3>
    Groups, Depthwise, and Depthwise-Separable
   </h3>
   Watch the companion YouTube video:
   <a>
    Groups, Depthwise, and Depthwise-Separable Convolution (Neural Networks)
   </a>
   .
   <table>
    <tbody>
     <tr>
      <td>
       <img alt="The process of convolution in neural networks with a 3x3 kernel size" height="auto" src="rick.jpg" width="480">
      </td>
      <td>
       <img alt="The process of convolution in neural networks with a 3x3 kernel size and 2 groups" height="auto" src="rick.jpg" width="480">
      </td>
     </tr>
     <tr>
      <td>
       1 Group
      </td>
      <td>
       2 Groups
      </td>
     </tr>
     <tr>
      <td>
       <img alt="The process of convolution in neural networks with a 3x3 kernel size and 8 groups making it a depthwise convolution" height="auto" src="rick.jpg" width="480">
      </td>
      <td>
       <img alt="A depthwise convolution layer followed by a pointwise convolution layer making the combined process a depthwise-separable convolution" height="auto" src="rick.jpg" width="480">
      </td>
     </tr>
     <tr>
      <td>
       Depthwise (8 Groups)
      </td>
      <td>
       Depthwise-separable (8 Groups followed by pointwise)
      </td>
     </tr>
    </tbody>
   </table>
   <h2 id="pixel-shuffle">
    Pixel Shuffle
   </h2>
   Watch the companion YouTube video:
   <a>
    Pixel Shuffle - Changing Resolution with Style
   </a>
   <h3>
    2x2 Block Size
   </h3>
   <table>
    <tbody>
     <tr>
      <td>
       <img alt="Pixel shuffle animation in neural networks with a block size of 2x2" height="auto" src="rick.jpg" width="480">
      </td>
      <td>
       <img alt="Pixel unshuffle animation in neural networks with a block size of 2x2" height="auto" src="rick.jpg" width="480">
      </td>
     </tr>
     <tr>
      <td>
       2x2 Pixel Shuffle
      </td>
      <td>
       2x2 Pixel Unshuffle
      </td>
     </tr>
     <tr>
      <td colspan="2">
       <img alt="Pixel shuffle and unshuffle in neural networks with a block size of 2x2 looping animation" height="auto" src="rick.jpg" width="960">
      </td>
     </tr>
     <tr>
      <td colspan="2">
       2x2 Pixel Shuffle/Unshuffle Loop
      </td>
     </tr>
    </tbody>
   </table>
   <h3>
    3x3 Block Size
   </h3>
   <table>
    <tbody>
     <tr>
      <td>
       <img alt="Pixel shuffle animation in neural networks with a block size of 3x3" height="auto" src="rick.jpg" width="480">
      </td>
      <td>
       <img alt="Pixel unshuffle animation in neural networks with a block size of 3x3" height="auto" src="rick.jpg" width="480">
      </td>
     </tr>
     <tr>
      <td>
       3x3 Pixel Shuffle
      </td>
      <td>
       3x3 Pixel Unshuffle
      </td>
     </tr>
     <tr>
      <td colspan="2">
       <img alt="Pixel shuffle and unshuffle in neural networks with a block size of 3x3 looping animation" height="auto" src="rick.jpg" width="960">
      </td>
     </tr>
     <tr>
      <td colspan="2">
       3x3 Pixel Shuffle/Unshuffle Loop
      </td>
     </tr>
    </tbody>
   </table>
   <h2>
   </h2>
   <p>
    Licensed under the
    <a>
     MIT License
    </a>
   </p>
  </article>
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