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doc/LectureNotes/_build/html/chapter6.html

@@ -313,6 +313,26 @@ const thebe_selector_output = ".output, .cell_output"
    Week 40: Gradient descent methods (continued) and start Neural networks
   </a>
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+ <li class="toctree-l1">
+  <a class="reference internal" href="exercisesweek41.html">
+   Exercises week 41
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="week41.html">
+   Week 41 Neural networks and constructing a neural network code
+  </a>
+ </li>
+ <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 introduction to Tensor flow
+  </a>
+ </li>
 </ul>
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@@ -325,6 +345,11 @@ const thebe_selector_output = ".output, .cell_output"
    Project 1 on Machine Learning, deadline October 9 (midnight), 2023
   </a>
  </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="project2.html">
+   Project 2 on Machine Learning, deadline November 13 (Midnight)
+  </a>
+ </li>
 </ul>
 
     </div>
@@ -772,9 +797,9 @@ predicting the target features of query instances is as follows:</p>
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 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2nd degree coefficients:
-zero power:  -1.3439564710454786
-first power:  0.020404272938413143
-second power:  0.0001539814498783133
+zero power:  -0.2774877574815404
+first power:  0.11112589053037751
+second power:  -0.00033136014047192484
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