update

Author: mhjensen

doc/pub/week15/html/week15-bs.html

@@ -131,6 +131,7 @@
                2,
                None,
                'pytorch-implementation-of-a-denoising-diffusion-probabilistic-model-ddpm-trained-on-the-mnist-dataset'),
+              ('What is a U-net?', 2, None, 'what-is-a-u-net'),
               ('Problem with diffusion models',
                2,
                None,
@@ -228,6 +229,7 @@
      <!-- navigation toc: --> <li><a href="#techniques-for-speeding-up-diffusion-models" style="font-size: 80%;">Techniques for speeding up diffusion models</a></li>
      <!-- navigation toc: --> <li><a href="#applications-of-diffusion-models" style="font-size: 80%;">Applications of diffusion models</a></li>
      <!-- navigation toc: --> <li><a href="#pytorch-implementation-of-a-denoising-diffusion-probabilistic-model-ddpm-trained-on-the-mnist-dataset" style="font-size: 80%;">PyTorch implementation of a Denoising Diffusion Probabilistic Model (DDPM) trained on the MNIST dataset</a></li>
+     <!-- navigation toc: --> <li><a href="#what-is-a-u-net" style="font-size: 80%;">What is a U-net?</a></li>
      <!-- navigation toc: --> <li><a href="#problem-with-diffusion-models" style="font-size: 80%;">Problem with diffusion models</a></li>
      <!-- navigation toc: --> <li><a href="#imports-and-utilities" style="font-size: 80%;">Imports and Utilities</a></li>
      <!-- navigation toc: --> <li><a href="#hyperparameters-and-schedules" style="font-size: 80%;">Hyperparameters and schedules</a></li>
@@ -800,6 +802,11 @@ <h2 id="pytorch-implementation-of-a-denoising-diffusion-probabilistic-model-ddpm
 <li> Jackson-Kang&#8217;s PyTorch diffusion tutorial, see <a href="https://github.com/Jackson-Kang/Pytorch-Diffusion-Model-Tutorial" target="_self"><tt>https://github.com/Jackson-Kang/Pytorch-Diffusion-Model-Tutorial</tt></a>  and</li>
 <li> awjuliani&#8217;s PyTorch DDPM implementation, see <a href="https://github.com/awjuliani/pytorch-diffusion" target="_self"><tt>https://github.com/awjuliani/pytorch-diffusion</tt></a></li>  
 </ol>
+<!-- !split -->
+<h2 id="what-is-a-u-net" class="anchor">What is a U-net? </h2>
+
+<p>UNet is a type of convolutional neural network (CNN) Architecture that is primarily used for image segmentation tasks. See <a href="https://en.wikipedia.org/wiki/U-Net" target="_self"><tt>https://en.wikipedia.org/wiki/U-Net</tt></a> or <a href="https://www.sciencedirect.com/topics/computer-science/u-net" target="_self"><tt>https://www.sciencedirect.com/topics/computer-science/u-net</tt></a></p>
+
 <!-- !split -->
 <h2 id="problem-with-diffusion-models" class="anchor">Problem with diffusion models </h2>
 

doc/pub/week15/html/week15-reveal.html

@@ -767,6 +767,12 @@ <h2 id="pytorch-implementation-of-a-denoising-diffusion-probabilistic-model-ddpm
 </ol>
 </section>
 
+<section>
+<h2 id="what-is-a-u-net">What is a U-net? </h2>
+
+<p>UNet is a type of convolutional neural network (CNN) Architecture that is primarily used for image segmentation tasks. See <a href="https://en.wikipedia.org/wiki/U-Net" target="_blank"><tt>https://en.wikipedia.org/wiki/U-Net</tt></a> or <a href="https://www.sciencedirect.com/topics/computer-science/u-net" target="_blank"><tt>https://www.sciencedirect.com/topics/computer-science/u-net</tt></a></p>
+</section>
+
 <section>
 <h2 id="problem-with-diffusion-models">Problem with diffusion models </h2>
 

doc/pub/week15/html/week15-solarized.html

@@ -158,6 +158,7 @@
                2,
                None,
                'pytorch-implementation-of-a-denoising-diffusion-probabilistic-model-ddpm-trained-on-the-mnist-dataset'),
+              ('What is a U-net?', 2, None, 'what-is-a-u-net'),
               ('Problem with diffusion models',
                2,
                None,
@@ -747,6 +748,11 @@ <h2 id="pytorch-implementation-of-a-denoising-diffusion-probabilistic-model-ddpm
 <li> Jackson-Kang&#8217;s PyTorch diffusion tutorial, see <a href="https://github.com/Jackson-Kang/Pytorch-Diffusion-Model-Tutorial" target="_blank"><tt>https://github.com/Jackson-Kang/Pytorch-Diffusion-Model-Tutorial</tt></a>  and</li>
 <li> awjuliani&#8217;s PyTorch DDPM implementation, see <a href="https://github.com/awjuliani/pytorch-diffusion" target="_blank"><tt>https://github.com/awjuliani/pytorch-diffusion</tt></a></li>  
 </ol>
+<!-- !split --><br><br><br><br><br><br><br><br><br><br>
+<h2 id="what-is-a-u-net">What is a U-net? </h2>
+
+<p>UNet is a type of convolutional neural network (CNN) Architecture that is primarily used for image segmentation tasks. See <a href="https://en.wikipedia.org/wiki/U-Net" target="_blank"><tt>https://en.wikipedia.org/wiki/U-Net</tt></a> or <a href="https://www.sciencedirect.com/topics/computer-science/u-net" target="_blank"><tt>https://www.sciencedirect.com/topics/computer-science/u-net</tt></a></p>
+
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 <h2 id="problem-with-diffusion-models">Problem with diffusion models </h2>
 

doc/pub/week15/html/week15.html

@@ -235,6 +235,7 @@
                2,
                None,
                'pytorch-implementation-of-a-denoising-diffusion-probabilistic-model-ddpm-trained-on-the-mnist-dataset'),
+              ('What is a U-net?', 2, None, 'what-is-a-u-net'),
               ('Problem with diffusion models',
                2,
                None,
@@ -824,6 +825,11 @@ <h2 id="pytorch-implementation-of-a-denoising-diffusion-probabilistic-model-ddpm
 <li> Jackson-Kang&#8217;s PyTorch diffusion tutorial, see <a href="https://github.com/Jackson-Kang/Pytorch-Diffusion-Model-Tutorial" target="_blank"><tt>https://github.com/Jackson-Kang/Pytorch-Diffusion-Model-Tutorial</tt></a>  and</li>
 <li> awjuliani&#8217;s PyTorch DDPM implementation, see <a href="https://github.com/awjuliani/pytorch-diffusion" target="_blank"><tt>https://github.com/awjuliani/pytorch-diffusion</tt></a></li>  
 </ol>
+<!-- !split --><br><br><br><br><br><br><br><br><br><br>
+<h2 id="what-is-a-u-net">What is a U-net? </h2>
+
+<p>UNet is a type of convolutional neural network (CNN) Architecture that is primarily used for image segmentation tasks. See <a href="https://en.wikipedia.org/wiki/U-Net" target="_blank"><tt>https://en.wikipedia.org/wiki/U-Net</tt></a> or <a href="https://www.sciencedirect.com/topics/computer-science/u-net" target="_blank"><tt>https://www.sciencedirect.com/topics/computer-science/u-net</tt></a></p>
+
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 <h2 id="problem-with-diffusion-models">Problem with diffusion models </h2>