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s2_organisation_and_version_control/git/index.html

@@ -1918,7 +1918,13 @@ <h2 id="exercises">❔ Exercises</h2>
 <p>Move/copy the three files from yesterday into the repository (and any other that you made)</p>
 </li>
 <li>
-<p>Add the files to a commit by using <code>git add</code> command</p>
+<p class="annotate">Add the files to a commit by using <code>git add</code> command (1)</p>
+<ol>
+<li><img alt="🙋‍♂️" class="twemoji" src="https://cdn.jsdelivr.net/gh/jdecked/[email protected]/assets/svg/1f64b-200d-2642-fe0f.svg" title=":man_raising_hand:" /> Writing good commit message is a skill in itself. A commit message should be short but
+    informative about the work you are trying to commit. Try to practise writing good commit messages
+    throughout the course. You can see
+    <a href="https://github.com/joelparkerhenderson/git-commit-message">this guideline</a> for help.</li>
+</ol>
 </li>
 <li>
 <p>Commit the files using <code>git commit</code></p>

s5_continuous_integration/github_actions/index.html

@@ -2050,10 +2050,10 @@ <h3 id="exercises">❔ Exercises</h3>
 </li>
 </ol>
 <h2 id="auto-linter">Auto linter</h2>
-<p>In <a href="../../s2_organisation_and_version_control/good_coding_practice/">this module</a> of the course
-you where introduced to a couple of good coding practices such as being consistent with how your
-python packages are sorted and that your code follows certain standards. In this set of exercises
-we will setup github workflows that will automatically test for this.</p>
+<p>In <a href="../../s2_organisation_and_version_control/good_coding_practice/">module M6 on good coding practices</a>
+(optional module) of the course you where introduced to a couple of good coding practices such as being consistent with
+how your python packages are sorted and that your code follows certain standards. In this set of exercises we will setup
+github workflows that will automatically test for this.</p>
 <h3 id="exercises_1">❔ Exercises</h3>
 <ol>
 <li>

s9_scalable_applications/inference/index.html

@@ -2114,11 +2114,14 @@ <h3 id="exercises_2">❔ Exercises</h3>
 </li>
 <li>
 <p>Try to prune the weights of the first convolutional layer by calling</p>
-<div class="language-python highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="n">prune</span><span class="o">.</span><span class="n">random_unstructured</span><span class="p">(</span><span class="n">module_1</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s2">&quot;weight&quot;</span><span class="p">,</span> <span class="n">amount</span><span class="o">=</span><span class="mf">0.3</span><span class="p">)</span>
+<div class="language-python highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="n">prune</span><span class="o">.</span><span class="n">random_unstructured</span><span class="p">(</span><span class="n">module_1</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s2">&quot;weight&quot;</span><span class="p">,</span> <span class="n">amount</span><span class="o">=</span><span class="mf">0.3</span><span class="p">)</span>  <span class="c1"># (1)!</span>
 </span></code></pre></div>
+<ol>
+<li><img alt="🙋‍♂️" class="twemoji" src="https://cdn.jsdelivr.net/gh/jdecked/[email protected]/assets/svg/1f64b-200d-2642-fe0f.svg" title=":man_raising_hand:" /> You can read about the prune method
+    <a href="https://pytorch.org/docs/stable/generated/torch.nn.utils.prune.random_unstructured.html#torch.nn.utils.prune.random_unstructured">here</a>.</li>
+</ol>
 <p>Try printing the <code>named_parameters</code>, <code>named_buffers</code> before and after the module is pruned. Can you explain the
-difference and what is the connection to the <code>module_1.weight</code> attribute. Hint: You can read about the prune
-method <a href="https://pytorch.org/docs/stable/generated/torch.nn.utils.prune.random_unstructured.html#torch.nn.utils.prune.random_unstructured">here</a>.</p>
+difference and what is the connection to the <code>module_1.weight</code> attribute.</p>
 </li>
 <li>
 <p>Try pruning the bias of the same module this time using the <code>l1_unstructured</code> function from the pruning module. Again
@@ -2309,7 +2312,7 @@ <h3 id="exercises_3">❔ Exercises</h3>
   <small>
 
       Last update:
-      <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">September 27, 2023</span>
+      <span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">November 9, 2023</span>
 
         <br>
         Created: