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doc/LectureNotes/_build/html/chapter1.html

@@ -323,6 +323,16 @@ const thebe_selector_output = ".output, .cell_output"
    Week 41 Neural networks and constructing a neural network code
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+ <li class="toctree-l1">
+  <a class="reference internal" href="exercisesweek42.html">
+   Exercises week 42
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="week42.html">
+   Week 42 Constructing a Neural Network code with examples
+  </a>
+ </li>
 </ul>
 <p aria-level="2" class="caption" role="heading">
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@@ -1056,13 +1066,13 @@ example of the functionality of <strong>Scikit-Learn</strong>.</p>
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 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The intercept alpha: 
- [1.94485679]
+ [2.07549007]
 Coefficient beta : 
- [[5.13059483]]
-Mean squared error: 0.32
-Variance score: 0.87
+ [[5.14029264]]
+Mean squared error: 0.23
+Variance score: 0.89
 Mean squared log error: 0.01
-Mean absolute error: 0.45
+Mean absolute error: 0.38
 </pre></div>
 </div>
 <img alt="_images/chapter1_19_1.png" src="_images/chapter1_19_1.png" />
@@ -1162,7 +1172,7 @@ a linear <span class="math notranslate nohighlight">\(x\)</span>-dependence we s
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 <img alt="_images/chapter1_33_0.png" src="_images/chapter1_33_0.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.004999999999999996
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.004999999999999987
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