diff --git a/1-introduction.html b/1-introduction.html
index 7a5e07e6..2b74d838 100644
--- a/1-introduction.html
+++ b/1-introduction.html
@@ -322,7 +322,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Introduction</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/1-introduction.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -483,7 +483,7 @@ <h4 id="optional-calculate-outputs-for-a-network">2. (optional) Calculate output
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
 <div class="accordion-body">
 <div class="section level4">
 <h4 id="calculate-the-output-for-one-neuron-1">1: calculate the output for one neuron<a class="anchor" aria-label="anchor" href="#calculate-the-output-for-one-neuron-1"></a></h4>
@@ -566,7 +566,7 @@ <h3 class="callout-title">Activation functions<a class="anchor" aria-label="anch
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>A</li>
 <li>C</li>
@@ -686,7 +686,7 @@ <h4 id="optional-huber-loss">2. (optional) Huber loss<a class="anchor" aria-labe
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <div class="section level4">
 <h4 id="compute-the-mean-squared-error-1">1. ‘Compute the Mean Squared Error’<a class="anchor" aria-label="anchor" href="#compute-the-mean-squared-error-1"></a></h4>
@@ -813,7 +813,7 @@ <h3 class="callout-title">Deep Learning Problems Exercise<a class="anchor" aria-
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>and 5 are the sort of tasks often solved with deep learning.</li>
 <li>is technically possible but solving this with deep learning would be
@@ -992,7 +992,7 @@ <h3 class="callout-title">Deep learning workflow exercise<a class="anchor" aria-
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
 <div class="accordion-body">
 <p>Discuss your answers with the group or the person next to you.</p>
 </div>
@@ -1196,8 +1196,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/1-introduction.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/1-introduction.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/2-keras.html b/2-keras.html
index 0a332792..df059e4c 100644
--- a/2-keras.html
+++ b/2-keras.html
@@ -327,7 +327,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Classification by a neural network using Keras</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/2-keras.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -583,7 +583,7 @@ <h3 class="callout-title">Pairplot<a class="anchor" aria-label="anchor" href="#p
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ul><li>The plots show that the green class, Gentoo is somewhat more easily
 distinguishable from the other two.</li>
@@ -710,7 +710,7 @@ <h3 class="callout-title">One-hot encoding<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <p>C: 3, one for each output variable class</p>
 </div>
@@ -921,7 +921,7 @@ <h4 id="optional-keras-sequential-vs-functional-api">(optional) Keras Sequential
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
 <div class="accordion-body">
 <p>Have a look at the output of <code>model.summary()</code>:</p>
 <div class="codewrapper sourceCode" id="cb18">
@@ -1098,7 +1098,7 @@ <h3 class="callout-title">The Training Curve<a class="anchor" aria-label="anchor
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>The training loss decreases quickly. It drops in a smooth line with
 little jitter. This is ideal for a training curve.</li>
@@ -1296,7 +1296,7 @@ <h3 class="callout-title">Confusion Matrix<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
 <div class="accordion-body">
 <p>The confusion matrix shows that the predictions for Adelie and Gentoo
 are decent, but could be improved. However, Chinstrap is not predicted
@@ -1462,8 +1462,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/2-keras.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/2-keras.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/3-monitor-the-model.html b/3-monitor-the-model.html
index bfad00cb..dc358d03 100644
--- a/3-monitor-the-model.html
+++ b/3-monitor-the-model.html
@@ -328,7 +328,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Monitor the training process</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/3-monitor-the-model.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -1865,8 +1865,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/3-monitor-the-model.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/3-monitor-the-model.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/4-advanced-layer-types.html b/4-advanced-layer-types.html
index 24f0e437..4829e7eb 100644
--- a/4-advanced-layer-types.html
+++ b/4-advanced-layer-types.html
@@ -333,7 +333,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Advanced layer types</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/4-advanced-layer-types.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -427,10 +427,10 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 permission from or credit to the original creators of those images.
 Unfortunately, uncredited use of images is a common problem among
 datasets used to benchmark models for image classification. The Dollar
-Street Dataset was chosen for use in the lesson as it contains only
+Street dataset was chosen for use in the lesson as it contains only
 images <a href="https://www.gapminder.org/dollar-street/about?" class="external-link">created
 by the Gapminder project</a> expressly for the purposes of use in the
-dataset. The original Dollar Street Dataset is very large – more than
+dataset. The original Dollar Street dataset is very large – more than
 100 GB – with the potential to grow even bigger, so we created a subset
 for use in this lesson.</p>
 </div>
@@ -438,7 +438,7 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 </div>
 </section><section><h2 class="section-heading" id="dollar-street-10-dataset">Dollar Street 10 dataset<a class="anchor" aria-label="anchor" href="#dollar-street-10-dataset"></a>
 <a class="anchor" aria-label="anchor" href="#dollar-street-10-dataset"></a></h2>
-<hr class="half-width"><p>The dollar street 10 dataset consists of images of 10 different
+<hr class="half-width"><p>The Dollar Street 10 dataset consists of images of 10 different
 classes, this is the mapping of the categories:</p>
 <table class="table"><thead><tr class="header"><th>Category</th>
 <th>label</th>
@@ -462,9 +462,9 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 <td>8</td>
 </tr><tr class="even"><td>washing machine</td>
 <td>9</td>
-</tr></tbody></table><figure><img src="fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the dollar street 10
-data-set. Each image is labelled with a category, for example: ‘street
-sign’ or ‘soap dispenser’</div>
+</tr></tbody></table><figure><img src="fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the Dollar Street 10 dataset.
+Each image is labelled with a category, for example: ‘street sign’ or
+‘soap dispenser’</div>
 </figure></section><section><h2 class="section-heading" id="identify-inputs-and-outputs">2. Identify inputs and outputs<a class="anchor" aria-label="anchor" href="#identify-inputs-and-outputs"></a>
 <a class="anchor" aria-label="anchor" href="#identify-inputs-and-outputs"></a></h2>
 <hr class="half-width"><div class="section level3">
@@ -486,15 +486,15 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 value 3 is typical for color images, and stands for the three color
 channels <strong>R</strong>ed, <strong>G</strong>reen,
 <strong>B</strong>lue.</p>
-<div id="number-of-features-dollar-street-10" class="callout challenge">
+<div id="number-of-features-in-dollar-street-10" class="callout challenge">
 <div class="callout-square">
 <i class="callout-icon" data-feather="zap"></i>
 </div>
-<div id="number-of-features-dollar-street-10" class="callout-inner">
-<h3 class="callout-title">Number of features dollar-street-10<a class="anchor" aria-label="anchor" href="#number-of-features-dollar-street-10"></a>
+<div id="number-of-features-in-dollar-street-10" class="callout-inner">
+<h3 class="callout-title">Number of features in Dollar Street 10<a class="anchor" aria-label="anchor" href="#number-of-features-in-dollar-street-10"></a>
 </h3>
 <div class="callout-content">
-<p>How many features does one image in the dollar-street-10 dataset
+<p>How many features does one image in the Dollar Street 10 dataset
 have?</p>
 <ul><li>A. 64</li>
 <li>B. 4096</li>
@@ -508,7 +508,7 @@ <h3 class="callout-title">Number of features dollar-street-10<a class="anchor" a
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <p>The correct solution is C: 12288</p>
 <p>There are 4096 pixels in one image (64 * 64), each pixel has 3
@@ -602,7 +602,7 @@ <h3 class="callout-title">Number of parameters<a class="anchor" aria-label="anch
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <p>The correct answer is B: Each entry of the input dimensions, i.e. the
 <code>shape</code> of one single data point, is connected with 100
@@ -731,7 +731,7 @@ <h3 class="callout-title">Border pixels<a class="anchor" aria-label="anchor" hre
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
 <div class="accordion-body">
 <p>There are different ways of dealing with border pixels. You can
 ignore them, which means that your output image is slightly smaller then
@@ -769,7 +769,7 @@ <h3 class="callout-title">Number of model parameters<a class="anchor" aria-label
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
 <div class="accordion-body">
 <p>We have 100 matrices with 3 * 3 * 3 = 27 values each so that gives 27
 * 100 = 2700 weights. This is a magnitude of 2000 less than the fully
@@ -845,7 +845,7 @@ <h3 class="callout-title">Convolutional Neural Network<a class="anchor" aria-lab
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
 <div class="accordion-body">
 <ul><li>The Flatten layer converts the 60x60x50 output of the convolutional
 layer into a single one-dimensional vector, that can be used as input
@@ -1127,7 +1127,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution6" aria-expanded="false" aria-controls="collapseSolution6">
   <h4 class="accordion-header" id="headingSolution6"> Show me the solution </h4>
 </button>
-<div id="collapseSolution6" class="accordion-collapse collapse" data-bs-parent="#accordionSolution6" aria-labelledby="headingSolution6">
+<div id="collapseSolution6" class="accordion-collapse collapse" aria-labelledby="headingSolution6" data-bs-parent="#accordionSolution6">
 <div class="accordion-body">
 <p>We add an extra Conv2D layer after the second pooling layer:</p>
 <div class="codewrapper sourceCode" id="cb28">
@@ -1249,7 +1249,7 @@ <h3 class="callout-title">Why and when to use convolutional neural networks<a cl
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution7" aria-expanded="false" aria-controls="collapseSolution7">
   <h4 class="accordion-header" id="headingSolution7"> Show me the solution </h4>
 </button>
-<div id="collapseSolution7" class="accordion-collapse collapse" data-bs-parent="#accordionSolution7" aria-labelledby="headingSolution7">
+<div id="collapseSolution7" class="accordion-collapse collapse" aria-labelledby="headingSolution7" data-bs-parent="#accordionSolution7">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>No that would not make sense. Convolutions only work when the
 features of the data can be ordered in a meaningful way. Pixels for
@@ -1406,7 +1406,7 @@ <h3 class="callout-title">Vary dropout rate<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution8" aria-expanded="false" aria-controls="collapseSolution8">
   <h4 class="accordion-header" id="headingSolution8"> Show me the solution </h4>
 </button>
-<div id="collapseSolution8" class="accordion-collapse collapse" data-bs-parent="#accordionSolution8" aria-labelledby="headingSolution8">
+<div id="collapseSolution8" class="accordion-collapse collapse" aria-labelledby="headingSolution8" data-bs-parent="#accordionSolution8">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="varying-the-dropout-rate">1. Varying the dropout rate<a class="anchor" aria-label="anchor" href="#varying-the-dropout-rate"></a></h3>
@@ -1623,7 +1623,7 @@ <h3 class="callout-title">Hyperparameter tuning<a class="anchor" aria-label="anc
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution9" aria-expanded="false" aria-controls="collapseSolution9">
   <h4 class="accordion-header" id="headingSolution9"> Show me the solution </h4>
 </button>
-<div id="collapseSolution9" class="accordion-collapse collapse" data-bs-parent="#accordionSolution9" aria-labelledby="headingSolution9">
+<div id="collapseSolution9" class="accordion-collapse collapse" aria-labelledby="headingSolution9" data-bs-parent="#accordionSolution9">
 <div class="accordion-body">
 <p>1:</p>
 <ul><li>A: Correct, 2 values for number of layers (1 and 2) are combined
@@ -1831,8 +1831,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/4-advanced-layer-types.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/4-advanced-layer-types.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/404.html b/404.html
index 3187425d..a74013b9 100644
--- a/404.html
+++ b/404.html
@@ -367,8 +367,8 @@ <h1>Page not found</h1>
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/404.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/404.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/5-transfer-learning.html b/5-transfer-learning.html
index fdfcd9d7..2388cf38 100644
--- a/5-transfer-learning.html
+++ b/5-transfer-learning.html
@@ -322,7 +322,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Transfer learning</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/5-transfer-learning.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -378,7 +378,7 @@ <h3 class="card-title">Objectives</h3>
 </section><section><h2 class="section-heading" id="formulate-outline-the-problem-and-2--identify-inputs-and-outputs">1. Formulate / Outline the problem and 2. Identify inputs and
 outputs<a class="anchor" aria-label="anchor" href="#formulate-outline-the-problem-and-2.-identify-inputs-and-outputs"></a>
 <a class="anchor" aria-label="anchor" href="#formulate-outline-the-problem-and-2--identify-inputs-and-outputs"></a></h2>
-<hr class="half-width"><p>Just like in the previous episode, we use the dollar street 10
+<hr class="half-width"><p>Just like in the previous episode, we use the Dollar Street 10
 dataset. The goal is to predict one out of 10 classes for a given
 image.</p>
 <p>We load the data in the same way as the previous episode:</p>
@@ -449,8 +449,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 <p>By setting <code>include_top</code> to <code>False</code> we exclude
 the fully connected layer at the top of the network. This layer was used
-to predict the Imagenet classes, but will be of no use for our
-dollarstreet dataset.</p>
+to predict the Imagenet classes, but will be of no use for our Dollar
+Street dataset.</p>
 <p>We add <code>pooling='max'</code> so that max pooling is applied to
 the output of the DenseNet121 network.</p>
 <p>By setting <code>weights='imagenet'</code> we use the weights that
@@ -464,7 +464,8 @@ <h3 id="only-train-a-head-network">Only train a ‘head’ network<a class="anch
 a so-called ‘head network’ that sits on top of the pre-trained network.
 You can see the DenseNet121 network as extracting a meaningful feature
 representation from our image. The head network will then be trained to
-decide on which of the 10 dollarstreet classes the image belongs.</p>
+decide on which of the 10 Dollar Street dataset classes the image
+belongs.</p>
 <p>We will turn of the <code>trainable</code> property of the base
 model:</p>
 <div class="codewrapper sourceCode" id="cb6">
@@ -524,7 +525,7 @@ <h3 id="max-pooling">3. Max pooling<a class="anchor" aria-label="anchor" href="#
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Solutions </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="trainable-parameters-1">1. Trainable parameters<a class="anchor" aria-label="anchor" href="#trainable-parameters-1"></a></h3>
@@ -588,7 +589,7 @@ <h3 id="optional-try-out-other-pre-trained-neural-networks">4. (Optional) Try ou
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="compile-the-model-1">1. Compile the model<a class="anchor" aria-label="anchor" href="#compile-the-model-1"></a></h3>
@@ -736,8 +737,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/5-transfer-learning.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/5-transfer-learning.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/6-outlook.html b/6-outlook.html
index 846d71d2..16b6544e 100644
--- a/6-outlook.html
+++ b/6-outlook.html
@@ -318,7 +318,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Outlook</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/6-outlook.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -374,21 +374,21 @@ <h3 class="card-title">Objectives</h3>
 <p>In short, the deep learning problem is that of finding out how
 similar two molecules are in terms of their molecular properties, based
 on their mass spectrum. You can compare this to comparing two pictures
-of animals, and predicting how similar they are. A siamese neural
-network is used to solve the problem. In a siamese neural network you
-have two input vectors, let’s say two images of animals or two mass
-spectra. They pass through a base network. Instead of outputting a class
-or number with one or a few output neurons, the output layer of the base
-network is a whole vector of for example 100 neurons. After passing
-through the base network, you end up with two of these vectors
-representing the two inputs. The goal of the base network is to output a
-meaningful representation of the input (this is called an embedding).
-The next step is to compute the cosine similarity between these two
-output vectors, cosine similarity is a measure for how similar two
-vectors are to each other, ranging from 0 (completely different) to 1
-(identical). This cosine similarity is compared to the actual similarity
-between the two inputs and this error is used to update the weights in
-the network.</p>
+of animals, and predicting how similar they are.</p>
+<p>A siamese neural network is used to solve the problem. In a siamese
+neural network you have two input vectors, let’s say two images of
+animals or two mass spectra. They pass through a base network. Instead
+of outputting a class or number with one or a few output neurons, the
+output layer of the base network is a whole vector of for example 100
+neurons. After passing through the base network, you end up with two of
+these vectors representing the two inputs. The goal of the base network
+is to output a meaningful representation of the input (this is called an
+embedding). The next step is to compute the cosine similarity between
+these two output vectors, cosine similarity is a measure for how similar
+two vectors are to each other, ranging from 0 (completely different) to
+1 (identical). This cosine similarity is compared to the actual
+similarity between the two inputs and this error is used to update the
+weights in the network.</p>
 <p>Don’t worry if you do not fully understand the deep learning problem
 and the approach that is taken here. We just want you to appreciate that
 you already learned enough to be able to do this yourself in your own
@@ -420,7 +420,7 @@ <h3 class="callout-title">Exercise: A real-world deep learning application<a cla
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>The model summary for the Siamese model is more complex than what we
 have seen so far, but it is basically a repetition of Dense, BatchNorm,
@@ -490,7 +490,7 @@ <h3 class="callout-title">Discussion: Large Language Models and prompt engineeri
 <p>Developments in LLM research are moving fast, at the end of 2023 the
 newest ChatGPT version <a href="https://openai.com/blog/chatgpt-can-now-see-hear-and-speak" class="external-link">could
 take images and sound as input</a>. In theory, this means that you can
-solve the Cifar-10 image classification problem from the previous
+solve the Dollar Street image classification problem from the previous
 episode by prompt engineering, with prompts similar to “Which out of
 these categories: [LIST OF CATEGORIES] is depicted in the image”.</p>
 <p><strong>Discuss the following statement with your
@@ -670,8 +670,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/6-outlook.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/6-outlook.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index 606ecfa6..7da4141d 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Contributor Code of Conduct</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/CODE_OF_CONDUCT.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -388,8 +388,8 @@ <h1>Contributor Code of Conduct</h1>
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/CODE_OF_CONDUCT.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/CODE_OF_CONDUCT.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/LICENSE.html b/LICENSE.html
index cc9285ff..6e4568f7 100644
--- a/LICENSE.html
+++ b/LICENSE.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Licenses</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/LICENSE.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -439,8 +439,8 @@ <h1>Licenses</h1>
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/LICENSE.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/LICENSE.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/aio.html b/aio.html
index f128595a..412aa02c 100644
--- a/aio.html
+++ b/aio.html
@@ -359,7 +359,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
         
 <section id="aio-1-introduction"><p>Content from <a href="1-introduction.html">Introduction</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/1-introduction.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -551,7 +551,7 @@ <h4 id="optional-calculate-outputs-for-a-network">2. (optional) Calculate output
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
 <div class="accordion-body">
 <div class="section level4">
 <h4 id="calculate-the-output-for-one-neuron-1">1: calculate the output for one neuron<a class="anchor" aria-label="anchor" href="#calculate-the-output-for-one-neuron-1"></a>
@@ -655,7 +655,7 @@ <h3 class="callout-title">Activation functions<a class="anchor" aria-label="anch
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>A</li>
@@ -798,7 +798,7 @@ <h4 id="optional-huber-loss">2. (optional) Huber loss<a class="anchor" aria-labe
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <div class="section level4">
 <h4 id="compute-the-mean-squared-error-1">1. ‘Compute the Mean Squared Error’<a class="anchor" aria-label="anchor" href="#compute-the-mean-squared-error-1"></a>
@@ -959,7 +959,7 @@ <h3 class="callout-title">Deep Learning Problems Exercise<a class="anchor" aria-
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>and 5 are the sort of tasks often solved with deep learning.</li>
@@ -1157,7 +1157,7 @@ <h3 class="callout-title">Deep learning workflow exercise<a class="anchor" aria-
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
 <div class="accordion-body">
 <p>Discuss your answers with the group or the person next to you.</p>
 </div>
@@ -1319,7 +1319,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
  -->
 </section></section><section id="aio-2-keras"><p>Content from <a href="2-keras.html">Classification by a neural network using Keras</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/2-keras.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -1612,7 +1612,7 @@ <h3 class="callout-title">Pairplot<a class="anchor" aria-label="anchor" href="#p
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ul>
 <li>The plots show that the green class, Gentoo is somewhat more easily
@@ -1748,7 +1748,7 @@ <h3 class="callout-title">One-hot encoding<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <p>C: 3, one for each output variable class</p>
 </div>
@@ -1971,7 +1971,7 @@ <h4 id="optional-keras-sequential-vs-functional-api">(optional) Keras Sequential
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
 <div class="accordion-body">
 <p>Have a look at the output of <code>model.summary()</code>:</p>
 <div class="codewrapper sourceCode" id="cb18">
@@ -2163,7 +2163,7 @@ <h3 class="callout-title">The Training Curve<a class="anchor" aria-label="anchor
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>The training loss decreases quickly. It drops in a smooth line with
@@ -2394,7 +2394,7 @@ <h3 class="callout-title">Confusion Matrix<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
 <div class="accordion-body">
 <p>The confusion matrix shows that the predictions for Adelie and Gentoo
 are decent, but could be improved. However, Chinstrap is not predicted
@@ -2510,7 +2510,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
  -->
 </section></section><section id="aio-3-monitor-the-model"><p>Content from <a href="3-monitor-the-model.html">Monitor the training process</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/3-monitor-the-model.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -4102,7 +4102,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
  -->
 </section></section><section id="aio-4-advanced-layer-types"><p>Content from <a href="4-advanced-layer-types.html">Advanced layer types</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/4-advanced-layer-types.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -4198,10 +4198,10 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 permission from or credit to the original creators of those images.
 Unfortunately, uncredited use of images is a common problem among
 datasets used to benchmark models for image classification. The Dollar
-Street Dataset was chosen for use in the lesson as it contains only
+Street dataset was chosen for use in the lesson as it contains only
 images <a href="https://www.gapminder.org/dollar-street/about?" class="external-link">created
 by the Gapminder project</a> expressly for the purposes of use in the
-dataset. The original Dollar Street Dataset is very large – more than
+dataset. The original Dollar Street dataset is very large – more than
 100 GB – with the potential to grow even bigger, so we created a subset
 for use in this lesson.</p>
 </div>
@@ -4211,7 +4211,7 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 <a class="anchor" aria-label="anchor" href="#dollar-street-10-dataset"></a>
 </h2>
 <hr class="half-width">
-<p>The dollar street 10 dataset consists of images of 10 different
+<p>The Dollar Street 10 dataset consists of images of 10 different
 classes, this is the mapping of the categories:</p>
 <table class="table">
 <thead><tr class="header">
@@ -4261,9 +4261,9 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 </tr>
 </tbody>
 </table>
-<figure><img src="fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the dollar street 10
-data-set. Each image is labelled with a category, for example: ‘street
-sign’ or ‘soap dispenser’</div>
+<figure><img src="fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the Dollar Street 10 dataset.
+Each image is labelled with a category, for example: ‘street sign’ or
+‘soap dispenser’</div>
 </figure></section><section><h2 class="section-heading" id="identify-inputs-and-outputs">2. Identify inputs and outputs<a class="anchor" aria-label="anchor" href="#identify-inputs-and-outputs"></a>
 <a class="anchor" aria-label="anchor" href="#identify-inputs-and-outputs"></a>
 </h2>
@@ -4288,15 +4288,15 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 value 3 is typical for color images, and stands for the three color
 channels <strong>R</strong>ed, <strong>G</strong>reen,
 <strong>B</strong>lue.</p>
-<div id="number-of-features-dollar-street-10" class="callout challenge">
+<div id="number-of-features-in-dollar-street-10" class="callout challenge">
 <div class="callout-square">
 <i class="callout-icon" data-feather="zap"></i>
 </div>
-<div id="number-of-features-dollar-street-10" class="callout-inner">
-<h3 class="callout-title">Number of features dollar-street-10<a class="anchor" aria-label="anchor" href="#number-of-features-dollar-street-10"></a>
+<div id="number-of-features-in-dollar-street-10" class="callout-inner">
+<h3 class="callout-title">Number of features in Dollar Street 10<a class="anchor" aria-label="anchor" href="#number-of-features-in-dollar-street-10"></a>
 </h3>
 <div class="callout-content">
-<p>How many features does one image in the dollar-street-10 dataset
+<p>How many features does one image in the Dollar Street 10 dataset
 have?</p>
 <ul>
 <li>A. 64</li>
@@ -4312,7 +4312,7 @@ <h3 class="callout-title">Number of features dollar-street-10<a class="anchor" a
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <p>The correct solution is C: 12288</p>
 <p>There are 4096 pixels in one image (64 * 64), each pixel has 3
@@ -4413,7 +4413,7 @@ <h3 class="callout-title">Number of parameters<a class="anchor" aria-label="anch
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <p>The correct answer is B: Each entry of the input dimensions, i.e. the
 <code>shape</code> of one single data point, is connected with 100
@@ -4544,7 +4544,7 @@ <h3 class="callout-title">Border pixels<a class="anchor" aria-label="anchor" hre
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
 <div class="accordion-body">
 <p>There are different ways of dealing with border pixels. You can
 ignore them, which means that your output image is slightly smaller then
@@ -4582,7 +4582,7 @@ <h3 class="callout-title">Number of model parameters<a class="anchor" aria-label
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
 <div class="accordion-body">
 <p>We have 100 matrices with 3 * 3 * 3 = 27 values each so that gives 27
 * 100 = 2700 weights. This is a magnitude of 2000 less than the fully
@@ -4660,7 +4660,7 @@ <h3 class="callout-title">Convolutional Neural Network<a class="anchor" aria-lab
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
 <div class="accordion-body">
 <ul>
 <li>The Flatten layer converts the 60x60x50 output of the convolutional
@@ -4956,7 +4956,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution6" aria-expanded="false" aria-controls="collapseSolution6">
   <h4 class="accordion-header" id="headingSolution6"> Show me the solution </h4>
 </button>
-<div id="collapseSolution6" class="accordion-collapse collapse" data-bs-parent="#accordionSolution6" aria-labelledby="headingSolution6">
+<div id="collapseSolution6" class="accordion-collapse collapse" aria-labelledby="headingSolution6" data-bs-parent="#accordionSolution6">
 <div class="accordion-body">
 <p>We add an extra Conv2D layer after the second pooling layer:</p>
 <div class="codewrapper sourceCode" id="cb28">
@@ -5081,7 +5081,7 @@ <h3 class="callout-title">Why and when to use convolutional neural networks<a cl
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution7" aria-expanded="false" aria-controls="collapseSolution7">
   <h4 class="accordion-header" id="headingSolution7"> Show me the solution </h4>
 </button>
-<div id="collapseSolution7" class="accordion-collapse collapse" data-bs-parent="#accordionSolution7" aria-labelledby="headingSolution7">
+<div id="collapseSolution7" class="accordion-collapse collapse" aria-labelledby="headingSolution7" data-bs-parent="#accordionSolution7">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>No that would not make sense. Convolutions only work when the
@@ -5246,7 +5246,7 @@ <h3 class="callout-title">Vary dropout rate<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution8" aria-expanded="false" aria-controls="collapseSolution8">
   <h4 class="accordion-header" id="headingSolution8"> Show me the solution </h4>
 </button>
-<div id="collapseSolution8" class="accordion-collapse collapse" data-bs-parent="#accordionSolution8" aria-labelledby="headingSolution8">
+<div id="collapseSolution8" class="accordion-collapse collapse" aria-labelledby="headingSolution8" data-bs-parent="#accordionSolution8">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="varying-the-dropout-rate">1. Varying the dropout rate<a class="anchor" aria-label="anchor" href="#varying-the-dropout-rate"></a>
@@ -5470,7 +5470,7 @@ <h3 class="callout-title">Hyperparameter tuning<a class="anchor" aria-label="anc
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution9" aria-expanded="false" aria-controls="collapseSolution9">
   <h4 class="accordion-header" id="headingSolution9"> Show me the solution </h4>
 </button>
-<div id="collapseSolution9" class="accordion-collapse collapse" data-bs-parent="#accordionSolution9" aria-labelledby="headingSolution9">
+<div id="collapseSolution9" class="accordion-collapse collapse" aria-labelledby="headingSolution9" data-bs-parent="#accordionSolution9">
 <div class="accordion-body">
 <p>1:</p>
 <ul>
@@ -5630,7 +5630,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
  -->
 </section></section><section id="aio-5-transfer-learning"><p>Content from <a href="5-transfer-learning.html">Transfer learning</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/5-transfer-learning.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -5688,7 +5688,7 @@ <h3 class="card-title">Objectives</h3>
 <a class="anchor" aria-label="anchor" href="#formulate-outline-the-problem-and-2--identify-inputs-and-outputs"></a>
 </h2>
 <hr class="half-width">
-<p>Just like in the previous episode, we use the dollar street 10
+<p>Just like in the previous episode, we use the Dollar Street 10
 dataset. The goal is to predict one out of 10 classes for a given
 image.</p>
 <p>We load the data in the same way as the previous episode:</p>
@@ -5763,8 +5763,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 <p>By setting <code>include_top</code> to <code>False</code> we exclude
 the fully connected layer at the top of the network. This layer was used
-to predict the Imagenet classes, but will be of no use for our
-dollarstreet dataset.</p>
+to predict the Imagenet classes, but will be of no use for our Dollar
+Street dataset.</p>
 <p>We add <code>pooling='max'</code> so that max pooling is applied to
 the output of the DenseNet121 network.</p>
 <p>By setting <code>weights='imagenet'</code> we use the weights that
@@ -5779,7 +5779,8 @@ <h3 id="only-train-a-head-network">Only train a ‘head’ network<a class="anch
 a so-called ‘head network’ that sits on top of the pre-trained network.
 You can see the DenseNet121 network as extracting a meaningful feature
 representation from our image. The head network will then be trained to
-decide on which of the 10 dollarstreet classes the image belongs.</p>
+decide on which of the 10 Dollar Street dataset classes the image
+belongs.</p>
 <p>We will turn of the <code>trainable</code> property of the base
 model:</p>
 <div class="codewrapper sourceCode" id="cb6">
@@ -5842,7 +5843,7 @@ <h3 id="max-pooling">3. Max pooling<a class="anchor" aria-label="anchor" href="#
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Solutions </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="trainable-parameters-1">1. Trainable parameters<a class="anchor" aria-label="anchor" href="#trainable-parameters-1"></a>
@@ -5912,7 +5913,7 @@ <h3 id="optional-try-out-other-pre-trained-neural-networks">4. (Optional) Try ou
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="compile-the-model-1">1. Compile the model<a class="anchor" aria-label="anchor" href="#compile-the-model-1"></a>
@@ -6011,7 +6012,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
  -->
 </section></section><section id="aio-6-outlook"><p>Content from <a href="6-outlook.html">Outlook</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/6-outlook.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -6067,21 +6068,21 @@ <h3 class="card-title">Objectives</h3>
 <p>In short, the deep learning problem is that of finding out how
 similar two molecules are in terms of their molecular properties, based
 on their mass spectrum. You can compare this to comparing two pictures
-of animals, and predicting how similar they are. A siamese neural
-network is used to solve the problem. In a siamese neural network you
-have two input vectors, let’s say two images of animals or two mass
-spectra. They pass through a base network. Instead of outputting a class
-or number with one or a few output neurons, the output layer of the base
-network is a whole vector of for example 100 neurons. After passing
-through the base network, you end up with two of these vectors
-representing the two inputs. The goal of the base network is to output a
-meaningful representation of the input (this is called an embedding).
-The next step is to compute the cosine similarity between these two
-output vectors, cosine similarity is a measure for how similar two
-vectors are to each other, ranging from 0 (completely different) to 1
-(identical). This cosine similarity is compared to the actual similarity
-between the two inputs and this error is used to update the weights in
-the network.</p>
+of animals, and predicting how similar they are.</p>
+<p>A siamese neural network is used to solve the problem. In a siamese
+neural network you have two input vectors, let’s say two images of
+animals or two mass spectra. They pass through a base network. Instead
+of outputting a class or number with one or a few output neurons, the
+output layer of the base network is a whole vector of for example 100
+neurons. After passing through the base network, you end up with two of
+these vectors representing the two inputs. The goal of the base network
+is to output a meaningful representation of the input (this is called an
+embedding). The next step is to compute the cosine similarity between
+these two output vectors, cosine similarity is a measure for how similar
+two vectors are to each other, ranging from 0 (completely different) to
+1 (identical). This cosine similarity is compared to the actual
+similarity between the two inputs and this error is used to update the
+weights in the network.</p>
 <p>Don’t worry if you do not fully understand the deep learning problem
 and the approach that is taken here. We just want you to appreciate that
 you already learned enough to be able to do this yourself in your own
@@ -6117,7 +6118,7 @@ <h3 class="callout-title">Exercise: A real-world deep learning application<a cla
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>The model summary for the Siamese model is more complex than what we
@@ -6191,7 +6192,7 @@ <h3 class="callout-title">Discussion: Large Language Models and prompt engineeri
 <p>Developments in LLM research are moving fast, at the end of 2023 the
 newest ChatGPT version <a href="https://openai.com/blog/chatgpt-can-now-see-hear-and-speak" class="external-link">could
 take images and sound as input</a>. In theory, this means that you can
-solve the Cifar-10 image classification problem from the previous
+solve the Dollar Street image classification problem from the previous
 episode by prompt engineering, with prompts similar to “Which out of
 these categories: [LIST OF CATEGORIES] is depicted in the image”.</p>
 <p><strong>Discuss the following statement with your
@@ -6390,8 +6391,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/aio.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/aio.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/bonus-material.html b/bonus-material.html
index 5a3c725e..08e85937 100644
--- a/bonus-material.html
+++ b/bonus-material.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Bonus material</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/instructors/bonus-material.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -593,8 +593,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/bonus-material.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/bonus-material.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/design.html b/design.html
index 34a8fe7c..7c1e5739 100644
--- a/design.html
+++ b/design.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Lesson design</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/instructors/design.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -515,8 +515,8 @@ <h3 id="re-use-existing-network-architectures-with-and-without-pre-trained-weigh
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/design.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/design.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/images.html b/images.html
index b81390fe..a7c6cc29 100644
--- a/images.html
+++ b/images.html
@@ -474,9 +474,9 @@ <h3 id="3-monitor-the-model-figure-13">Figure 13</h3>
 <hr class="half-width">
 <h3 id="4-advanced-layer-types-figure-1">Figure 1</h3>
 <p aria-hidden="true">Image 1 of 1: ‘A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'.’</p>
-<figure><img src="fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the dollar street 10
-data-set. Each image is labelled with a category, for example: ‘street
-sign’ or ‘soap dispenser’</div>
+<figure><img src="fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the Dollar Street 10 dataset.
+Each image is labelled with a category, for example: ‘street sign’ or
+‘soap dispenser’</div>
 </figure><hr>
 <h3 id="4-advanced-layer-types-figure-2">Figure 2</h3>
 <p aria-hidden="true">Image 1 of 1: ‘Example of a convolution matrix calculation’</p>
@@ -561,8 +561,8 @@ <h3 id="5-transfer-learning-figure-1">Figure 1</h3>
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/images.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/images.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/index.html b/index.html
index cf497dff..ee6b051d 100644
--- a/index.html
+++ b/index.html
@@ -679,8 +679,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/index.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/index.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor-notes.html b/instructor-notes.html
index f0a369ce..7d3f1c5f 100644
--- a/instructor-notes.html
+++ b/instructor-notes.html
@@ -469,8 +469,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor-notes.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor-notes.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/1-introduction.html b/instructor/1-introduction.html
index 168be5c9..e5cd729a 100644
--- a/instructor/1-introduction.html
+++ b/instructor/1-introduction.html
@@ -322,7 +322,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Introduction</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/1-introduction.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -485,7 +485,7 @@ <h4 id="optional-calculate-outputs-for-a-network">2. (optional) Calculate output
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
 <div class="accordion-body">
 <div class="section level4">
 <h4 id="calculate-the-output-for-one-neuron-1">1: calculate the output for one neuron<a class="anchor" aria-label="anchor" href="#calculate-the-output-for-one-neuron-1"></a></h4>
@@ -568,7 +568,7 @@ <h3 class="callout-title">Activation functions<a class="anchor" aria-label="anch
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>A</li>
 <li>C</li>
@@ -688,7 +688,7 @@ <h4 id="optional-huber-loss">2. (optional) Huber loss<a class="anchor" aria-labe
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <div class="section level4">
 <h4 id="compute-the-mean-squared-error-1">1. ‘Compute the Mean Squared Error’<a class="anchor" aria-label="anchor" href="#compute-the-mean-squared-error-1"></a></h4>
@@ -736,7 +736,7 @@ <h4 id="huber-loss">2. ‘Huber loss’<a class="anchor" aria-label="anchor" hre
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> BREAK </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
 <div class="accordion-body">
 <p>This is a good time for switching instructor and/or a break.</p>
 </div>
@@ -826,7 +826,7 @@ <h3 class="callout-title">Deep Learning Problems Exercise<a class="anchor" aria-
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>and 5 are the sort of tasks often solved with deep learning.</li>
 <li>is technically possible but solving this with deep learning would be
@@ -1005,7 +1005,7 @@ <h3 class="callout-title">Deep learning workflow exercise<a class="anchor" aria-
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
 <div class="accordion-body">
 <p>Discuss your answers with the group or the person next to you.</p>
 </div>
@@ -1209,8 +1209,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/1-introduction.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/1-introduction.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/2-keras.html b/instructor/2-keras.html
index 1a669c9a..91ff2342 100644
--- a/instructor/2-keras.html
+++ b/instructor/2-keras.html
@@ -327,7 +327,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Classification by a neural network using Keras</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/2-keras.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -405,7 +405,7 @@ <h3 class="card-title">Objectives</h3>
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Instructor Note </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
 <div class="accordion-body">
 <p>This episode really aims to go through the whole process once, as
 quickly as possible. In episode 3 we will expand on all the concepts
@@ -604,7 +604,7 @@ <h3 class="callout-title">Pairplot<a class="anchor" aria-label="anchor" href="#p
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ul><li>The plots show that the green class, Gentoo is somewhat more easily
 distinguishable from the other two.</li>
@@ -731,7 +731,7 @@ <h3 class="callout-title">One-hot encoding<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <p>C: 3, one for each output variable class</p>
 </div>
@@ -783,7 +783,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor2" aria-expanded="false" aria-controls="collapseInstructor2">
   <h3 class="accordion-header" id="headingInstructor2">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> BREAK </h3>
 </button>
-<div id="collapseInstructor2" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor2" aria-labelledby="headingInstructor2">
+<div id="collapseInstructor2" class="accordion-collapse collapse" aria-labelledby="headingInstructor2" data-bs-parent="#accordionInstructor2">
 <div class="accordion-body">
 <p>This is a good time for switching instructor and/or a break.</p>
 </div>
@@ -953,7 +953,7 @@ <h4 id="optional-keras-sequential-vs-functional-api">(optional) Keras Sequential
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
 <div class="accordion-body">
 <p>Have a look at the output of <code>model.summary()</code>:</p>
 <div class="codewrapper sourceCode" id="cb18">
@@ -1130,7 +1130,7 @@ <h3 class="callout-title">The Training Curve<a class="anchor" aria-label="anchor
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>The training loss decreases quickly. It drops in a smooth line with
 little jitter. This is ideal for a training curve.</li>
@@ -1253,7 +1253,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor3" aria-expanded="false" aria-controls="collapseInstructor3">
   <h3 class="accordion-header" id="headingInstructor3">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> BREAK </h3>
 </button>
-<div id="collapseInstructor3" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor3" aria-labelledby="headingInstructor3">
+<div id="collapseInstructor3" class="accordion-collapse collapse" aria-labelledby="headingInstructor3" data-bs-parent="#accordionInstructor3">
 <div class="accordion-body">
 <p>This is a good time for switching instructor and/or a break.</p>
 </div>
@@ -1339,7 +1339,7 @@ <h3 class="callout-title">Confusion Matrix<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
 <div class="accordion-body">
 <p>The confusion matrix shows that the predictions for Adelie and Gentoo
 are decent, but could be improved. However, Chinstrap is not predicted
@@ -1505,8 +1505,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/2-keras.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/2-keras.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/3-monitor-the-model.html b/instructor/3-monitor-the-model.html
index 227042df..c16dce95 100644
--- a/instructor/3-monitor-the-model.html
+++ b/instructor/3-monitor-the-model.html
@@ -328,7 +328,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Monitor the training process</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/3-monitor-the-model.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -1907,8 +1907,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/3-monitor-the-model.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/3-monitor-the-model.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/4-advanced-layer-types.html b/instructor/4-advanced-layer-types.html
index 66a87084..4f5f379f 100644
--- a/instructor/4-advanced-layer-types.html
+++ b/instructor/4-advanced-layer-types.html
@@ -333,7 +333,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Advanced layer types</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/4-advanced-layer-types.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -429,10 +429,10 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 permission from or credit to the original creators of those images.
 Unfortunately, uncredited use of images is a common problem among
 datasets used to benchmark models for image classification. The Dollar
-Street Dataset was chosen for use in the lesson as it contains only
+Street dataset was chosen for use in the lesson as it contains only
 images <a href="https://www.gapminder.org/dollar-street/about?" class="external-link">created
 by the Gapminder project</a> expressly for the purposes of use in the
-dataset. The original Dollar Street Dataset is very large – more than
+dataset. The original Dollar Street dataset is very large – more than
 100 GB – with the potential to grow even bigger, so we created a subset
 for use in this lesson.</p>
 </div>
@@ -440,7 +440,7 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 </div>
 </section><section><h2 class="section-heading" id="dollar-street-10-dataset">Dollar Street 10 dataset<a class="anchor" aria-label="anchor" href="#dollar-street-10-dataset"></a>
 <a class="anchor" aria-label="anchor" href="#dollar-street-10-dataset"></a></h2>
-<hr class="half-width"><p>The dollar street 10 dataset consists of images of 10 different
+<hr class="half-width"><p>The Dollar Street 10 dataset consists of images of 10 different
 classes, this is the mapping of the categories:</p>
 <table class="table"><thead><tr class="header"><th>Category</th>
 <th>label</th>
@@ -469,7 +469,7 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Framing the classification task </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
 <div class="accordion-body">
 <p>The sample images from the dataset, shown below, provide a good
 opportunity to lead a discussion with learners about the nature of the
@@ -487,9 +487,9 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 </div>
 </div>
 </div>
-<figure><img src="../fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the dollar street 10
-data-set. Each image is labelled with a category, for example: ‘street
-sign’ or ‘soap dispenser’</div>
+<figure><img src="../fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the Dollar Street 10 dataset.
+Each image is labelled with a category, for example: ‘street sign’ or
+‘soap dispenser’</div>
 </figure></section><section><h2 class="section-heading" id="identify-inputs-and-outputs">2. Identify inputs and outputs<a class="anchor" aria-label="anchor" href="#identify-inputs-and-outputs"></a>
 <a class="anchor" aria-label="anchor" href="#identify-inputs-and-outputs"></a></h2>
 <hr class="half-width"><div class="section level3">
@@ -511,15 +511,15 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 value 3 is typical for color images, and stands for the three color
 channels <strong>R</strong>ed, <strong>G</strong>reen,
 <strong>B</strong>lue.</p>
-<div id="number-of-features-dollar-street-10" class="callout challenge">
+<div id="number-of-features-in-dollar-street-10" class="callout challenge">
 <div class="callout-square">
 <i class="callout-icon" data-feather="zap"></i>
 </div>
-<div id="number-of-features-dollar-street-10" class="callout-inner">
-<h3 class="callout-title">Number of features dollar-street-10<a class="anchor" aria-label="anchor" href="#number-of-features-dollar-street-10"></a>
+<div id="number-of-features-in-dollar-street-10" class="callout-inner">
+<h3 class="callout-title">Number of features in Dollar Street 10<a class="anchor" aria-label="anchor" href="#number-of-features-in-dollar-street-10"></a>
 </h3>
 <div class="callout-content">
-<p>How many features does one image in the dollar-street-10 dataset
+<p>How many features does one image in the Dollar Street 10 dataset
 have?</p>
 <ul><li>A. 64</li>
 <li>B. 4096</li>
@@ -533,7 +533,7 @@ <h3 class="callout-title">Number of features dollar-street-10<a class="anchor" a
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <p>The correct solution is C: 12288</p>
 <p>There are 4096 pixels in one image (64 * 64), each pixel has 3
@@ -627,7 +627,7 @@ <h3 class="callout-title">Number of parameters<a class="anchor" aria-label="anch
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <p>The correct answer is B: Each entry of the input dimensions, i.e. the
 <code>shape</code> of one single data point, is connected with 100
@@ -756,7 +756,7 @@ <h3 class="callout-title">Border pixels<a class="anchor" aria-label="anchor" hre
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
 <div class="accordion-body">
 <p>There are different ways of dealing with border pixels. You can
 ignore them, which means that your output image is slightly smaller then
@@ -794,7 +794,7 @@ <h3 class="callout-title">Number of model parameters<a class="anchor" aria-label
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
 <div class="accordion-body">
 <p>We have 100 matrices with 3 * 3 * 3 = 27 values each so that gives 27
 * 100 = 2700 weights. This is a magnitude of 2000 less than the fully
@@ -870,7 +870,7 @@ <h3 class="callout-title">Convolutional Neural Network<a class="anchor" aria-lab
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
 <div class="accordion-body">
 <ul><li>The Flatten layer converts the 60x60x50 output of the convolutional
 layer into a single one-dimensional vector, that can be used as input
@@ -911,7 +911,7 @@ <h3 class="callout-title">Search for existing architectures or pretrained models
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor2" aria-expanded="false" aria-controls="collapseInstructor2">
   <h3 class="accordion-header" id="headingInstructor2">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Demonstrate searching for existing architectures </h3>
 </button>
-<div id="collapseInstructor2" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor2" aria-labelledby="headingInstructor2">
+<div id="collapseInstructor2" class="accordion-collapse collapse" aria-labelledby="headingInstructor2" data-bs-parent="#accordionInstructor2">
 <div class="accordion-body">
 <p>At this point it can be nice to apply above callout box and
 demonstrate searching for state-of-the-art implementations. If you
@@ -1024,7 +1024,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor3" aria-expanded="false" aria-controls="collapseInstructor3">
   <h3 class="accordion-header" id="headingInstructor3">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> BREAK </h3>
 </button>
-<div id="collapseInstructor3" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor3" aria-labelledby="headingInstructor3">
+<div id="collapseInstructor3" class="accordion-collapse collapse" aria-labelledby="headingInstructor3" data-bs-parent="#accordionInstructor3">
 <div class="accordion-body">
 <p>This is a good time for switching instructor and/or a break.</p>
 </div>
@@ -1086,7 +1086,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor4" aria-expanded="false" aria-controls="collapseInstructor4">
   <h3 class="accordion-header" id="headingInstructor4">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Comparison with a network with only dense layers </h3>
 </button>
-<div id="collapseInstructor4" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor4" aria-labelledby="headingInstructor4">
+<div id="collapseInstructor4" class="accordion-collapse collapse" aria-labelledby="headingInstructor4" data-bs-parent="#accordionInstructor4">
 <div class="accordion-body">
 <p>The callout box below compares the CNN approach with a network with
 only dense layers. Depending on time, the following discussion can be
@@ -1208,7 +1208,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution6" aria-expanded="false" aria-controls="collapseSolution6">
   <h4 class="accordion-header" id="headingSolution6"> Show me the solution </h4>
 </button>
-<div id="collapseSolution6" class="accordion-collapse collapse" data-bs-parent="#accordionSolution6" aria-labelledby="headingSolution6">
+<div id="collapseSolution6" class="accordion-collapse collapse" aria-labelledby="headingSolution6" data-bs-parent="#accordionSolution6">
 <div class="accordion-body">
 <p>We add an extra Conv2D layer after the second pooling layer:</p>
 <div class="codewrapper sourceCode" id="cb28">
@@ -1330,7 +1330,7 @@ <h3 class="callout-title">Why and when to use convolutional neural networks<a cl
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution7" aria-expanded="false" aria-controls="collapseSolution7">
   <h4 class="accordion-header" id="headingSolution7"> Show me the solution </h4>
 </button>
-<div id="collapseSolution7" class="accordion-collapse collapse" data-bs-parent="#accordionSolution7" aria-labelledby="headingSolution7">
+<div id="collapseSolution7" class="accordion-collapse collapse" aria-labelledby="headingSolution7" data-bs-parent="#accordionSolution7">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>No that would not make sense. Convolutions only work when the
 features of the data can be ordered in a meaningful way. Pixels for
@@ -1487,7 +1487,7 @@ <h3 class="callout-title">Vary dropout rate<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution8" aria-expanded="false" aria-controls="collapseSolution8">
   <h4 class="accordion-header" id="headingSolution8"> Show me the solution </h4>
 </button>
-<div id="collapseSolution8" class="accordion-collapse collapse" data-bs-parent="#accordionSolution8" aria-labelledby="headingSolution8">
+<div id="collapseSolution8" class="accordion-collapse collapse" aria-labelledby="headingSolution8" data-bs-parent="#accordionSolution8">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="varying-the-dropout-rate">1. Varying the dropout rate<a class="anchor" aria-label="anchor" href="#varying-the-dropout-rate"></a></h3>
@@ -1552,7 +1552,7 @@ <h3 id="term-associated-to-this-procedure">2. Term associated to this procedure<
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor5" aria-expanded="false" aria-controls="collapseInstructor5">
   <h3 class="accordion-header" id="headingInstructor5">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Do a live demo instead of live coding </h3>
 </button>
-<div id="collapseInstructor5" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor5" aria-labelledby="headingInstructor5">
+<div id="collapseInstructor5" class="accordion-collapse collapse" aria-labelledby="headingInstructor5" data-bs-parent="#accordionInstructor5">
 <div class="accordion-body">
 <p>You might want to demonstrate this section on hyperparameter tuning
 instead of doing live coding. The goal is to show that hyperparameter
@@ -1722,7 +1722,7 @@ <h3 class="callout-title">Hyperparameter tuning<a class="anchor" aria-label="anc
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution9" aria-expanded="false" aria-controls="collapseSolution9">
   <h4 class="accordion-header" id="headingSolution9"> Show me the solution </h4>
 </button>
-<div id="collapseSolution9" class="accordion-collapse collapse" data-bs-parent="#accordionSolution9" aria-labelledby="headingSolution9">
+<div id="collapseSolution9" class="accordion-collapse collapse" aria-labelledby="headingSolution9" data-bs-parent="#accordionSolution9">
 <div class="accordion-body">
 <p>1:</p>
 <ul><li>A: Correct, 2 values for number of layers (1 and 2) are combined
@@ -1930,8 +1930,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/4-advanced-layer-types.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/4-advanced-layer-types.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/404.html b/instructor/404.html
index c04a1440..1e4b5093 100644
--- a/instructor/404.html
+++ b/instructor/404.html
@@ -367,8 +367,8 @@ <h1>Page not found</h1>
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/404.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/404.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/5-transfer-learning.html b/instructor/5-transfer-learning.html
index 08f67c5c..51955fe7 100644
--- a/instructor/5-transfer-learning.html
+++ b/instructor/5-transfer-learning.html
@@ -322,7 +322,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Transfer learning</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/5-transfer-learning.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -380,7 +380,7 @@ <h3 class="card-title">Objectives</h3>
 </section><section><h2 class="section-heading" id="formulate-outline-the-problem-and-2--identify-inputs-and-outputs">1. Formulate / Outline the problem and 2. Identify inputs and
 outputs<a class="anchor" aria-label="anchor" href="#formulate-outline-the-problem-and-2.-identify-inputs-and-outputs"></a>
 <a class="anchor" aria-label="anchor" href="#formulate-outline-the-problem-and-2--identify-inputs-and-outputs"></a></h2>
-<hr class="half-width"><p>Just like in the previous episode, we use the dollar street 10
+<hr class="half-width"><p>Just like in the previous episode, we use the Dollar Street 10
 dataset. The goal is to predict one out of 10 classes for a given
 image.</p>
 <p>We load the data in the same way as the previous episode:</p>
@@ -451,8 +451,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 <p>By setting <code>include_top</code> to <code>False</code> we exclude
 the fully connected layer at the top of the network. This layer was used
-to predict the Imagenet classes, but will be of no use for our
-dollarstreet dataset.</p>
+to predict the Imagenet classes, but will be of no use for our Dollar
+Street dataset.</p>
 <p>We add <code>pooling='max'</code> so that max pooling is applied to
 the output of the DenseNet121 network.</p>
 <p>By setting <code>weights='imagenet'</code> we use the weights that
@@ -466,7 +466,8 @@ <h3 id="only-train-a-head-network">Only train a ‘head’ network<a class="anch
 a so-called ‘head network’ that sits on top of the pre-trained network.
 You can see the DenseNet121 network as extracting a meaningful feature
 representation from our image. The head network will then be trained to
-decide on which of the 10 dollarstreet classes the image belongs.</p>
+decide on which of the 10 Dollar Street dataset classes the image
+belongs.</p>
 <p>We will turn of the <code>trainable</code> property of the base
 model:</p>
 <div class="codewrapper sourceCode" id="cb6">
@@ -526,7 +527,7 @@ <h3 id="max-pooling">3. Max pooling<a class="anchor" aria-label="anchor" href="#
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Solutions </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="trainable-parameters-1">1. Trainable parameters<a class="anchor" aria-label="anchor" href="#trainable-parameters-1"></a></h3>
@@ -590,7 +591,7 @@ <h3 id="optional-try-out-other-pre-trained-neural-networks">4. (Optional) Try ou
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="compile-the-model-1">1. Compile the model<a class="anchor" aria-label="anchor" href="#compile-the-model-1"></a></h3>
@@ -738,8 +739,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/5-transfer-learning.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/5-transfer-learning.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/6-outlook.html b/instructor/6-outlook.html
index 168b0ccf..2953f7ad 100644
--- a/instructor/6-outlook.html
+++ b/instructor/6-outlook.html
@@ -318,7 +318,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Outlook</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/6-outlook.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -376,21 +376,21 @@ <h3 class="card-title">Objectives</h3>
 <p>In short, the deep learning problem is that of finding out how
 similar two molecules are in terms of their molecular properties, based
 on their mass spectrum. You can compare this to comparing two pictures
-of animals, and predicting how similar they are. A siamese neural
-network is used to solve the problem. In a siamese neural network you
-have two input vectors, let’s say two images of animals or two mass
-spectra. They pass through a base network. Instead of outputting a class
-or number with one or a few output neurons, the output layer of the base
-network is a whole vector of for example 100 neurons. After passing
-through the base network, you end up with two of these vectors
-representing the two inputs. The goal of the base network is to output a
-meaningful representation of the input (this is called an embedding).
-The next step is to compute the cosine similarity between these two
-output vectors, cosine similarity is a measure for how similar two
-vectors are to each other, ranging from 0 (completely different) to 1
-(identical). This cosine similarity is compared to the actual similarity
-between the two inputs and this error is used to update the weights in
-the network.</p>
+of animals, and predicting how similar they are.</p>
+<p>A siamese neural network is used to solve the problem. In a siamese
+neural network you have two input vectors, let’s say two images of
+animals or two mass spectra. They pass through a base network. Instead
+of outputting a class or number with one or a few output neurons, the
+output layer of the base network is a whole vector of for example 100
+neurons. After passing through the base network, you end up with two of
+these vectors representing the two inputs. The goal of the base network
+is to output a meaningful representation of the input (this is called an
+embedding). The next step is to compute the cosine similarity between
+these two output vectors, cosine similarity is a measure for how similar
+two vectors are to each other, ranging from 0 (completely different) to
+1 (identical). This cosine similarity is compared to the actual
+similarity between the two inputs and this error is used to update the
+weights in the network.</p>
 <p>Don’t worry if you do not fully understand the deep learning problem
 and the approach that is taken here. We just want you to appreciate that
 you already learned enough to be able to do this yourself in your own
@@ -400,7 +400,7 @@ <h3 class="card-title">Objectives</h3>
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Instructor Note </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
 <div class="accordion-body">
 <p>You don’t have to use this project as an example. It works best to
 use a suitable deep learning project that you know well and are
@@ -435,7 +435,7 @@ <h3 class="callout-title">Exercise: A real-world deep learning application<a cla
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>The model summary for the Siamese model is more complex than what we
 have seen so far, but it is basically a repetition of Dense, BatchNorm,
@@ -505,7 +505,7 @@ <h3 class="callout-title">Discussion: Large Language Models and prompt engineeri
 <p>Developments in LLM research are moving fast, at the end of 2023 the
 newest ChatGPT version <a href="https://openai.com/blog/chatgpt-can-now-see-hear-and-speak" class="external-link">could
 take images and sound as input</a>. In theory, this means that you can
-solve the Cifar-10 image classification problem from the previous
+solve the Dollar Street image classification problem from the previous
 episode by prompt engineering, with prompts similar to “Which out of
 these categories: [LIST OF CATEGORIES] is depicted in the image”.</p>
 <p><strong>Discuss the following statement with your
@@ -685,8 +685,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/6-outlook.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/6-outlook.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/CODE_OF_CONDUCT.html b/instructor/CODE_OF_CONDUCT.html
index cac5d351..6c180750 100644
--- a/instructor/CODE_OF_CONDUCT.html
+++ b/instructor/CODE_OF_CONDUCT.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Contributor Code of Conduct</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/CODE_OF_CONDUCT.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -390,8 +390,8 @@ <h1>Contributor Code of Conduct</h1>
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/CODE_OF_CONDUCT.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/CODE_OF_CONDUCT.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/LICENSE.html b/instructor/LICENSE.html
index cddd4b4a..808c6dfc 100644
--- a/instructor/LICENSE.html
+++ b/instructor/LICENSE.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Licenses</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/LICENSE.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -441,8 +441,8 @@ <h1>Licenses</h1>
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/LICENSE.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/LICENSE.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/aio.html b/instructor/aio.html
index bc0a0a03..b6c2b63a 100644
--- a/instructor/aio.html
+++ b/instructor/aio.html
@@ -369,7 +369,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
         
 <section id="aio-1-introduction"><p>Content from <a href="1-introduction.html">Introduction</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/1-introduction.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Estimated time: <i aria-hidden="true" data-feather="clock"></i> 80 minutes</p>
@@ -562,7 +562,7 @@ <h4 id="optional-calculate-outputs-for-a-network">2. (optional) Calculate output
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
 <div class="accordion-body">
 <div class="section level4">
 <h4 id="calculate-the-output-for-one-neuron-1">1: calculate the output for one neuron<a class="anchor" aria-label="anchor" href="#calculate-the-output-for-one-neuron-1"></a>
@@ -666,7 +666,7 @@ <h3 class="callout-title">Activation functions<a class="anchor" aria-label="anch
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>A</li>
@@ -809,7 +809,7 @@ <h4 id="optional-huber-loss">2. (optional) Huber loss<a class="anchor" aria-labe
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <div class="section level4">
 <h4 id="compute-the-mean-squared-error-1">1. ‘Compute the Mean Squared Error’<a class="anchor" aria-label="anchor" href="#compute-the-mean-squared-error-1"></a>
@@ -875,7 +875,7 @@ <h4 id="huber-loss">2. ‘Huber loss’<a class="anchor" aria-label="anchor" hre
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> BREAK </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
 <div class="accordion-body">
 <p>This is a good time for switching instructor and/or a break.</p>
 </div>
@@ -981,7 +981,7 @@ <h3 class="callout-title">Deep Learning Problems Exercise<a class="anchor" aria-
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>and 5 are the sort of tasks often solved with deep learning.</li>
@@ -1179,7 +1179,7 @@ <h3 class="callout-title">Deep learning workflow exercise<a class="anchor" aria-
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
 <div class="accordion-body">
 <p>Discuss your answers with the group or the person next to you.</p>
 </div>
@@ -1341,7 +1341,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
  -->
 </section></section><section id="aio-2-keras"><p>Content from <a href="2-keras.html">Classification by a neural network using Keras</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/2-keras.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Estimated time: <i aria-hidden="true" data-feather="clock"></i> 110 minutes</p>
@@ -1420,7 +1420,7 @@ <h3 class="card-title">Objectives</h3>
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Instructor Note </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
 <div class="accordion-body">
 <p>This episode really aims to go through the whole process once, as
 quickly as possible. In episode 3 we will expand on all the concepts
@@ -1654,7 +1654,7 @@ <h3 class="callout-title">Pairplot<a class="anchor" aria-label="anchor" href="#p
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ul>
 <li>The plots show that the green class, Gentoo is somewhat more easily
@@ -1790,7 +1790,7 @@ <h3 class="callout-title">One-hot encoding<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <p>C: 3, one for each output variable class</p>
 </div>
@@ -1843,7 +1843,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor2" aria-expanded="false" aria-controls="collapseInstructor2">
   <h3 class="accordion-header" id="headingInstructor2">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> BREAK </h3>
 </button>
-<div id="collapseInstructor2" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor2" aria-labelledby="headingInstructor2">
+<div id="collapseInstructor2" class="accordion-collapse collapse" aria-labelledby="headingInstructor2" data-bs-parent="#accordionInstructor2">
 <div class="accordion-body">
 <p>This is a good time for switching instructor and/or a break.</p>
 </div>
@@ -2024,7 +2024,7 @@ <h4 id="optional-keras-sequential-vs-functional-api">(optional) Keras Sequential
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
 <div class="accordion-body">
 <p>Have a look at the output of <code>model.summary()</code>:</p>
 <div class="codewrapper sourceCode" id="cb18">
@@ -2216,7 +2216,7 @@ <h3 class="callout-title">The Training Curve<a class="anchor" aria-label="anchor
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>The training loss decreases quickly. It drops in a smooth line with
@@ -2367,7 +2367,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor3" aria-expanded="false" aria-controls="collapseInstructor3">
   <h3 class="accordion-header" id="headingInstructor3">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> BREAK </h3>
 </button>
-<div id="collapseInstructor3" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor3" aria-labelledby="headingInstructor3">
+<div id="collapseInstructor3" class="accordion-collapse collapse" aria-labelledby="headingInstructor3" data-bs-parent="#accordionInstructor3">
 <div class="accordion-body">
 <p>This is a good time for switching instructor and/or a break.</p>
 </div>
@@ -2458,7 +2458,7 @@ <h3 class="callout-title">Confusion Matrix<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
 <div class="accordion-body">
 <p>The confusion matrix shows that the predictions for Adelie and Gentoo
 are decent, but could be improved. However, Chinstrap is not predicted
@@ -2574,7 +2574,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
  -->
 </section></section><section id="aio-3-monitor-the-model"><p>Content from <a href="3-monitor-the-model.html">Monitor the training process</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/3-monitor-the-model.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Estimated time: <i aria-hidden="true" data-feather="clock"></i> 200 minutes</p>
@@ -4208,7 +4208,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
  -->
 </section></section><section id="aio-4-advanced-layer-types"><p>Content from <a href="4-advanced-layer-types.html">Advanced layer types</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/4-advanced-layer-types.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Estimated time: <i aria-hidden="true" data-feather="clock"></i> 140 minutes</p>
@@ -4305,10 +4305,10 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 permission from or credit to the original creators of those images.
 Unfortunately, uncredited use of images is a common problem among
 datasets used to benchmark models for image classification. The Dollar
-Street Dataset was chosen for use in the lesson as it contains only
+Street dataset was chosen for use in the lesson as it contains only
 images <a href="https://www.gapminder.org/dollar-street/about?" class="external-link">created
 by the Gapminder project</a> expressly for the purposes of use in the
-dataset. The original Dollar Street Dataset is very large – more than
+dataset. The original Dollar Street dataset is very large – more than
 100 GB – with the potential to grow even bigger, so we created a subset
 for use in this lesson.</p>
 </div>
@@ -4318,7 +4318,7 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 <a class="anchor" aria-label="anchor" href="#dollar-street-10-dataset"></a>
 </h2>
 <hr class="half-width">
-<p>The dollar street 10 dataset consists of images of 10 different
+<p>The Dollar Street 10 dataset consists of images of 10 different
 classes, this is the mapping of the categories:</p>
 <table class="table">
 <thead><tr class="header">
@@ -4373,7 +4373,7 @@ <h3 class="callout-title">A Note About Data Provenance<a class="anchor" aria-lab
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Framing the classification task </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
 <div class="accordion-body">
 <p>The sample images from the dataset, shown below, provide a good
 opportunity to lead a discussion with learners about the nature of the
@@ -4391,9 +4391,9 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 </div>
 </div>
 </div>
-<figure><img src="../fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the dollar street 10
-data-set. Each image is labelled with a category, for example: ‘street
-sign’ or ‘soap dispenser’</div>
+<figure><img src="../fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the Dollar Street 10 dataset.
+Each image is labelled with a category, for example: ‘street sign’ or
+‘soap dispenser’</div>
 </figure></section><section><h2 class="section-heading" id="identify-inputs-and-outputs">2. Identify inputs and outputs<a class="anchor" aria-label="anchor" href="#identify-inputs-and-outputs"></a>
 <a class="anchor" aria-label="anchor" href="#identify-inputs-and-outputs"></a>
 </h2>
@@ -4418,15 +4418,15 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 value 3 is typical for color images, and stands for the three color
 channels <strong>R</strong>ed, <strong>G</strong>reen,
 <strong>B</strong>lue.</p>
-<div id="number-of-features-dollar-street-10" class="callout challenge">
+<div id="number-of-features-in-dollar-street-10" class="callout challenge">
 <div class="callout-square">
 <i class="callout-icon" data-feather="zap"></i>
 </div>
-<div id="number-of-features-dollar-street-10" class="callout-inner">
-<h3 class="callout-title">Number of features dollar-street-10<a class="anchor" aria-label="anchor" href="#number-of-features-dollar-street-10"></a>
+<div id="number-of-features-in-dollar-street-10" class="callout-inner">
+<h3 class="callout-title">Number of features in Dollar Street 10<a class="anchor" aria-label="anchor" href="#number-of-features-in-dollar-street-10"></a>
 </h3>
 <div class="callout-content">
-<p>How many features does one image in the dollar-street-10 dataset
+<p>How many features does one image in the Dollar Street 10 dataset
 have?</p>
 <ul>
 <li>A. 64</li>
@@ -4442,7 +4442,7 @@ <h3 class="callout-title">Number of features dollar-street-10<a class="anchor" a
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <p>The correct solution is C: 12288</p>
 <p>There are 4096 pixels in one image (64 * 64), each pixel has 3
@@ -4543,7 +4543,7 @@ <h3 class="callout-title">Number of parameters<a class="anchor" aria-label="anch
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <p>The correct answer is B: Each entry of the input dimensions, i.e. the
 <code>shape</code> of one single data point, is connected with 100
@@ -4674,7 +4674,7 @@ <h3 class="callout-title">Border pixels<a class="anchor" aria-label="anchor" hre
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
 <div class="accordion-body">
 <p>There are different ways of dealing with border pixels. You can
 ignore them, which means that your output image is slightly smaller then
@@ -4712,7 +4712,7 @@ <h3 class="callout-title">Number of model parameters<a class="anchor" aria-label
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
 <div class="accordion-body">
 <p>We have 100 matrices with 3 * 3 * 3 = 27 values each so that gives 27
 * 100 = 2700 weights. This is a magnitude of 2000 less than the fully
@@ -4790,7 +4790,7 @@ <h3 class="callout-title">Convolutional Neural Network<a class="anchor" aria-lab
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
 <div class="accordion-body">
 <ul>
 <li>The Flatten layer converts the 60x60x50 output of the convolutional
@@ -4833,7 +4833,7 @@ <h3 class="callout-title">Search for existing architectures or pretrained models
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor2" aria-expanded="false" aria-controls="collapseInstructor2">
   <h3 class="accordion-header" id="headingInstructor2">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Demonstrate searching for existing architectures </h3>
 </button>
-<div id="collapseInstructor2" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor2" aria-labelledby="headingInstructor2">
+<div id="collapseInstructor2" class="accordion-collapse collapse" aria-labelledby="headingInstructor2" data-bs-parent="#accordionInstructor2">
 <div class="accordion-body">
 <p>At this point it can be nice to apply above callout box and
 demonstrate searching for state-of-the-art implementations. If you
@@ -4950,7 +4950,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor3" aria-expanded="false" aria-controls="collapseInstructor3">
   <h3 class="accordion-header" id="headingInstructor3">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> BREAK </h3>
 </button>
-<div id="collapseInstructor3" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor3" aria-labelledby="headingInstructor3">
+<div id="collapseInstructor3" class="accordion-collapse collapse" aria-labelledby="headingInstructor3" data-bs-parent="#accordionInstructor3">
 <div class="accordion-body">
 <p>This is a good time for switching instructor and/or a break.</p>
 </div>
@@ -5018,7 +5018,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor4" aria-expanded="false" aria-controls="collapseInstructor4">
   <h3 class="accordion-header" id="headingInstructor4">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Comparison with a network with only dense layers </h3>
 </button>
-<div id="collapseInstructor4" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor4" aria-labelledby="headingInstructor4">
+<div id="collapseInstructor4" class="accordion-collapse collapse" aria-labelledby="headingInstructor4" data-bs-parent="#accordionInstructor4">
 <div class="accordion-body">
 <p>The callout box below compares the CNN approach with a network with
 only dense layers. Depending on time, the following discussion can be
@@ -5144,7 +5144,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution6" aria-expanded="false" aria-controls="collapseSolution6">
   <h4 class="accordion-header" id="headingSolution6"> Show me the solution </h4>
 </button>
-<div id="collapseSolution6" class="accordion-collapse collapse" data-bs-parent="#accordionSolution6" aria-labelledby="headingSolution6">
+<div id="collapseSolution6" class="accordion-collapse collapse" aria-labelledby="headingSolution6" data-bs-parent="#accordionSolution6">
 <div class="accordion-body">
 <p>We add an extra Conv2D layer after the second pooling layer:</p>
 <div class="codewrapper sourceCode" id="cb28">
@@ -5269,7 +5269,7 @@ <h3 class="callout-title">Why and when to use convolutional neural networks<a cl
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution7" aria-expanded="false" aria-controls="collapseSolution7">
   <h4 class="accordion-header" id="headingSolution7"> Show me the solution </h4>
 </button>
-<div id="collapseSolution7" class="accordion-collapse collapse" data-bs-parent="#accordionSolution7" aria-labelledby="headingSolution7">
+<div id="collapseSolution7" class="accordion-collapse collapse" aria-labelledby="headingSolution7" data-bs-parent="#accordionSolution7">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>No that would not make sense. Convolutions only work when the
@@ -5434,7 +5434,7 @@ <h3 class="callout-title">Vary dropout rate<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution8" aria-expanded="false" aria-controls="collapseSolution8">
   <h4 class="accordion-header" id="headingSolution8"> Show me the solution </h4>
 </button>
-<div id="collapseSolution8" class="accordion-collapse collapse" data-bs-parent="#accordionSolution8" aria-labelledby="headingSolution8">
+<div id="collapseSolution8" class="accordion-collapse collapse" aria-labelledby="headingSolution8" data-bs-parent="#accordionSolution8">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="varying-the-dropout-rate">1. Varying the dropout rate<a class="anchor" aria-label="anchor" href="#varying-the-dropout-rate"></a>
@@ -5504,7 +5504,7 @@ <h3 id="term-associated-to-this-procedure">2. Term associated to this procedure<
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor5" aria-expanded="false" aria-controls="collapseInstructor5">
   <h3 class="accordion-header" id="headingInstructor5">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Do a live demo instead of live coding </h3>
 </button>
-<div id="collapseInstructor5" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor5" aria-labelledby="headingInstructor5">
+<div id="collapseInstructor5" class="accordion-collapse collapse" aria-labelledby="headingInstructor5" data-bs-parent="#accordionInstructor5">
 <div class="accordion-body">
 <p>You might want to demonstrate this section on hyperparameter tuning
 instead of doing live coding. The goal is to show that hyperparameter
@@ -5676,7 +5676,7 @@ <h3 class="callout-title">Hyperparameter tuning<a class="anchor" aria-label="anc
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution9" aria-expanded="false" aria-controls="collapseSolution9">
   <h4 class="accordion-header" id="headingSolution9"> Show me the solution </h4>
 </button>
-<div id="collapseSolution9" class="accordion-collapse collapse" data-bs-parent="#accordionSolution9" aria-labelledby="headingSolution9">
+<div id="collapseSolution9" class="accordion-collapse collapse" aria-labelledby="headingSolution9" data-bs-parent="#accordionSolution9">
 <div class="accordion-body">
 <p>1:</p>
 <ul>
@@ -5836,7 +5836,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
  -->
 </section></section><section id="aio-5-transfer-learning"><p>Content from <a href="5-transfer-learning.html">Transfer learning</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/5-transfer-learning.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Estimated time: <i aria-hidden="true" data-feather="clock"></i> 50 minutes</p>
@@ -5895,7 +5895,7 @@ <h3 class="card-title">Objectives</h3>
 <a class="anchor" aria-label="anchor" href="#formulate-outline-the-problem-and-2--identify-inputs-and-outputs"></a>
 </h2>
 <hr class="half-width">
-<p>Just like in the previous episode, we use the dollar street 10
+<p>Just like in the previous episode, we use the Dollar Street 10
 dataset. The goal is to predict one out of 10 classes for a given
 image.</p>
 <p>We load the data in the same way as the previous episode:</p>
@@ -5970,8 +5970,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 <p>By setting <code>include_top</code> to <code>False</code> we exclude
 the fully connected layer at the top of the network. This layer was used
-to predict the Imagenet classes, but will be of no use for our
-dollarstreet dataset.</p>
+to predict the Imagenet classes, but will be of no use for our Dollar
+Street dataset.</p>
 <p>We add <code>pooling='max'</code> so that max pooling is applied to
 the output of the DenseNet121 network.</p>
 <p>By setting <code>weights='imagenet'</code> we use the weights that
@@ -5986,7 +5986,8 @@ <h3 id="only-train-a-head-network">Only train a ‘head’ network<a class="anch
 a so-called ‘head network’ that sits on top of the pre-trained network.
 You can see the DenseNet121 network as extracting a meaningful feature
 representation from our image. The head network will then be trained to
-decide on which of the 10 dollarstreet classes the image belongs.</p>
+decide on which of the 10 Dollar Street dataset classes the image
+belongs.</p>
 <p>We will turn of the <code>trainable</code> property of the base
 model:</p>
 <div class="codewrapper sourceCode" id="cb6">
@@ -6049,7 +6050,7 @@ <h3 id="max-pooling">3. Max pooling<a class="anchor" aria-label="anchor" href="#
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Solutions </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="trainable-parameters-1">1. Trainable parameters<a class="anchor" aria-label="anchor" href="#trainable-parameters-1"></a>
@@ -6119,7 +6120,7 @@ <h3 id="optional-try-out-other-pre-trained-neural-networks">4. (Optional) Try ou
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <div class="section level3">
 <h3 id="compile-the-model-1">1. Compile the model<a class="anchor" aria-label="anchor" href="#compile-the-model-1"></a>
@@ -6218,7 +6219,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
  -->
 </section></section><section id="aio-6-outlook"><p>Content from <a href="6-outlook.html">Outlook</a></p>
 <hr>
-<p>Last updated on 2024-07-16 |
+<p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/episodes/6-outlook.Rmd" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Estimated time: <i aria-hidden="true" data-feather="clock"></i> 40 minutes</p>
@@ -6275,21 +6276,21 @@ <h3 class="card-title">Objectives</h3>
 <p>In short, the deep learning problem is that of finding out how
 similar two molecules are in terms of their molecular properties, based
 on their mass spectrum. You can compare this to comparing two pictures
-of animals, and predicting how similar they are. A siamese neural
-network is used to solve the problem. In a siamese neural network you
-have two input vectors, let’s say two images of animals or two mass
-spectra. They pass through a base network. Instead of outputting a class
-or number with one or a few output neurons, the output layer of the base
-network is a whole vector of for example 100 neurons. After passing
-through the base network, you end up with two of these vectors
-representing the two inputs. The goal of the base network is to output a
-meaningful representation of the input (this is called an embedding).
-The next step is to compute the cosine similarity between these two
-output vectors, cosine similarity is a measure for how similar two
-vectors are to each other, ranging from 0 (completely different) to 1
-(identical). This cosine similarity is compared to the actual similarity
-between the two inputs and this error is used to update the weights in
-the network.</p>
+of animals, and predicting how similar they are.</p>
+<p>A siamese neural network is used to solve the problem. In a siamese
+neural network you have two input vectors, let’s say two images of
+animals or two mass spectra. They pass through a base network. Instead
+of outputting a class or number with one or a few output neurons, the
+output layer of the base network is a whole vector of for example 100
+neurons. After passing through the base network, you end up with two of
+these vectors representing the two inputs. The goal of the base network
+is to output a meaningful representation of the input (this is called an
+embedding). The next step is to compute the cosine similarity between
+these two output vectors, cosine similarity is a measure for how similar
+two vectors are to each other, ranging from 0 (completely different) to
+1 (identical). This cosine similarity is compared to the actual
+similarity between the two inputs and this error is used to update the
+weights in the network.</p>
 <p>Don’t worry if you do not fully understand the deep learning problem
 and the approach that is taken here. We just want you to appreciate that
 you already learned enough to be able to do this yourself in your own
@@ -6299,7 +6300,7 @@ <h3 class="card-title">Objectives</h3>
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Instructor Note </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
 <div class="accordion-body">
 <p>You don’t have to use this project as an example. It works best to
 use a suitable deep learning project that you know well and are
@@ -6338,7 +6339,7 @@ <h3 class="callout-title">Exercise: A real-world deep learning application<a cla
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>The model summary for the Siamese model is more complex than what we
@@ -6412,7 +6413,7 @@ <h3 class="callout-title">Discussion: Large Language Models and prompt engineeri
 <p>Developments in LLM research are moving fast, at the end of 2023 the
 newest ChatGPT version <a href="https://openai.com/blog/chatgpt-can-now-see-hear-and-speak" class="external-link">could
 take images and sound as input</a>. In theory, this means that you can
-solve the Cifar-10 image classification problem from the previous
+solve the Dollar Street image classification problem from the previous
 episode by prompt engineering, with prompts similar to “Which out of
 these categories: [LIST OF CATEGORIES] is depicted in the image”.</p>
 <p><strong>Discuss the following statement with your
@@ -6611,8 +6612,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/aio.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/aio.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/bonus-material.html b/instructor/bonus-material.html
index 52859c77..ab84ae9c 100644
--- a/instructor/bonus-material.html
+++ b/instructor/bonus-material.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Bonus material</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/instructors/bonus-material.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -595,8 +595,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/bonus-material.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/bonus-material.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/design.html b/instructor/design.html
index 83314274..eece4b4e 100644
--- a/instructor/design.html
+++ b/instructor/design.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Lesson design</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/instructors/design.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -517,8 +517,8 @@ <h3 id="re-use-existing-network-architectures-with-and-without-pre-trained-weigh
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/design.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/design.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/images.html b/instructor/images.html
index e9a03e80..feb56a59 100644
--- a/instructor/images.html
+++ b/instructor/images.html
@@ -484,9 +484,9 @@ <h3 id="3-monitor-the-model-figure-13">Figure 13</h3>
 <hr class="half-width">
 <h3 id="4-advanced-layer-types-figure-1">Figure 1</h3>
 <p aria-hidden="true">Image 1 of 1: ‘A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'.’</p>
-<figure><img src="../fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the dollar street 10
-data-set. Each image is labelled with a category, for example: ‘street
-sign’ or ‘soap dispenser’</div>
+<figure><img src="../fig/04_dollar_street_10.png" alt="A 5 by 5 grid of 25 sample images from the dollar street 10 data-set. Each image is labelled with a category, for example: 'street sign' or 'soap dispenser'." class="figure mx-auto d-block"><div class="figcaption">Sample images from the Dollar Street 10 dataset.
+Each image is labelled with a category, for example: ‘street sign’ or
+‘soap dispenser’</div>
 </figure><hr>
 <h3 id="4-advanced-layer-types-figure-2">Figure 2</h3>
 <p aria-hidden="true">Image 1 of 1: ‘Example of a convolution matrix calculation’</p>
@@ -571,8 +571,8 @@ <h3 id="5-transfer-learning-figure-1">Figure 1</h3>
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/images.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/images.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/index.html b/instructor/index.html
index 8a666496..16698673 100644
--- a/instructor/index.html
+++ b/instructor/index.html
@@ -353,7 +353,7 @@ <h3 class="accordion-header" id="headingInstructor1">
   Looking for Beta Testers!
   </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
 <div class="accordion-body">
 <p><strong>We are currently looking for volunteers to test this
 lesson!</strong> If you would like to teach this lesson in a pilot
@@ -375,7 +375,7 @@ <h3 class="accordion-header" id="headingInstructor2">
   Breaks and Schedule
   </h3>
 </button>
-<div id="collapseInstructor2" class="accordion-collapse collapse" aria-labelledby="headingInstructor2" data-bs-parent="#accordionInstructor2">
+<div id="collapseInstructor2" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor2" aria-labelledby="headingInstructor2">
 <div class="accordion-body">
 <p>Episode 2, 3, and 4 in this workshop are relatively long. We suggest
 to have a break at least every 90 minutes and to switch the instructor
@@ -798,8 +798,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/index.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/index.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/instructor-notes.html b/instructor/instructor-notes.html
index cb8f4a9e..960ffaad 100644
--- a/instructor/instructor-notes.html
+++ b/instructor/instructor-notes.html
@@ -614,8 +614,8 @@ <h3 id="6-outlook-headingInstructor1">
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/instructor-notes.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/instructor-notes.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/key-points.html b/instructor/key-points.html
index 548f5f89..44f5b1fb 100644
--- a/instructor/key-points.html
+++ b/instructor/key-points.html
@@ -487,8 +487,8 @@ <h2 class="accordion-header" id="flush-headingTwelve">
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/key-points.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/key-points.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/paper.html b/instructor/paper.html
index 4f6283fb..0c4e29da 100644
--- a/instructor/paper.html
+++ b/instructor/paper.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Introduction to deep learning: Carpentries-style hands-on lesson material for introducing researchers to deep learning</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/paper.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -633,8 +633,8 @@ <h1 id="references">References<a class="anchor" aria-label="anchor" href="#refer
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/paper.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/paper.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/profiles.html b/instructor/profiles.html
index ab15bf06..55908aab 100644
--- a/instructor/profiles.html
+++ b/instructor/profiles.html
@@ -393,8 +393,8 @@ <h4 id="eric-from-pediatrics-science">Eric from Pediatrics Science<a class="anch
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/profiles.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/profiles.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/reference.html b/instructor/reference.html
index 559f8b8b..2476e5ef 100644
--- a/instructor/reference.html
+++ b/instructor/reference.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Reference</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/learners/reference.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -469,8 +469,8 @@ <h3 id="some-courses-for-deeper-learning">Some courses for deeper learning:<a cl
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/reference.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/reference.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/schedule.html b/instructor/schedule.html
index 88fcec6b..64b35980 100644
--- a/instructor/schedule.html
+++ b/instructor/schedule.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Example schedule</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/instructors/schedule.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -451,8 +451,8 @@ <h1>Example schedule</h1>
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/schedule.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/schedule.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/instructor/survey-templates.html b/instructor/survey-templates.html
index ef06592c..b129bd2e 100644
--- a/instructor/survey-templates.html
+++ b/instructor/survey-templates.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Workshop survey templates</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/instructors/survey-templates.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -510,8 +510,8 @@ <h3 id="questions-about-machine-learning">Questions about machine learning<a cla
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/survey-templates.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/instructor/survey-templates.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/key-points.html b/key-points.html
index 9991c1e8..38419d91 100644
--- a/key-points.html
+++ b/key-points.html
@@ -477,8 +477,8 @@ <h2 class="accordion-header" id="flush-headingTwelve">
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/key-points.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/key-points.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/md5sum.txt b/md5sum.txt
index ad1db9eb..84f4d233 100644
--- a/md5sum.txt
+++ b/md5sum.txt
@@ -1,22 +1,22 @@
 "file" "checksum" "built" "date"
-"CODE_OF_CONDUCT.md" "c93c83c630db2fe2462240bf72552548" "site/built/CODE_OF_CONDUCT.md" "2024-07-16"
-"LICENSE.md" "b24ebbb41b14ca25cf6b8216dda83e5f" "site/built/LICENSE.md" "2024-07-16"
-"config.yaml" "bb28d4820055b928caa1334d348e821c" "site/built/config.yaml" "2024-07-16"
-"index.md" "b6d71d4f9e78c58751d3280fae05047d" "site/built/index.md" "2024-07-16"
-"links.md" "8184cf4149eafbf03ce8da8ff0778c14" "site/built/links.md" "2024-07-16"
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diff --git a/paper.html b/paper.html
index 12c3d6f6..801a299d 100644
--- a/paper.html
+++ b/paper.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Introduction to deep learning: Carpentries-style hands-on lesson material for introducing researchers to deep learning</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/paper.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -631,8 +631,8 @@ <h1 id="references">References<a class="anchor" aria-label="anchor" href="#refer
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/paper.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/paper.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/pkgdown.yml b/pkgdown.yml
index 35ce2ebe..23f55f67 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -2,4 +2,4 @@ pandoc: 3.1.11
 pkgdown: 2.1.0
 pkgdown_sha: ~
 articles: {}
-last_built: 2024-07-16T00:57Z
+last_built: 2024-07-22T09:53Z
diff --git a/profiles.html b/profiles.html
index a3372228..807a2738 100644
--- a/profiles.html
+++ b/profiles.html
@@ -393,8 +393,8 @@ <h4 id="eric-from-pediatrics-science">Eric from Pediatrics Science<a class="anch
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/profiles.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/profiles.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/reference.html b/reference.html
index 4dac9ce7..8885d8c1 100644
--- a/reference.html
+++ b/reference.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Reference</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/learners/reference.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -467,8 +467,8 @@ <h3 id="some-courses-for-deeper-learning">Some courses for deeper learning:<a cl
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/reference.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/reference.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/schedule.html b/schedule.html
index 8f85c9e9..299b781c 100644
--- a/schedule.html
+++ b/schedule.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Example schedule</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/instructors/schedule.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -449,8 +449,8 @@ <h1>Example schedule</h1>
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/schedule.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/schedule.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>
diff --git a/survey-templates.html b/survey-templates.html
index 1182e61b..d1642ca1 100644
--- a/survey-templates.html
+++ b/survey-templates.html
@@ -305,7 +305,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Workshop survey templates</h1>
-        <p>Last updated on 2024-07-16 |
+        <p>Last updated on 2024-07-22 |
 
         <a href="https://github.com/carpentries-incubator/deep-learning-intro/edit/main/instructors/survey-templates.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 
@@ -508,8 +508,8 @@ <h3 id="questions-about-machine-learning">Questions about machine learning<a cla
   "url": "https://carpentries-incubator.github.io/deep-learning-intro/survey-templates.html",
   "identifier": "https://carpentries-incubator.github.io/deep-learning-intro/survey-templates.html",
   "dateCreated": "2020-10-17",
-  "dateModified": "2024-07-16",
-  "datePublished": "2024-07-16"
+  "dateModified": "2024-07-22",
+  "datePublished": "2024-07-22"
 }
 
   </script><script>