small typo

Author: mhjensen

doc/pub/week45/html/._week45-bs001.html

@@ -289,7 +289,7 @@ <h2 id="plans-for-week-45" class="anchor">Plans for week 45 </h2>
 <!-- o These lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week45/ipynb/week45.ipynb" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week45/ipynb/week45.ipynb</tt></a> -->
 <!-- * <a href="https://youtu.be/z0x-vgyAZUk" target="_self">Video of lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov9.pdf" target="_self">Whiteboard notes</a> --></li>
-<li> For a more in depth discussion on  CNNs and recurrent neural networks we recommend Goodfellow et al chapters 9 and 10. See also chapter 11 and 12 on practicalities and applications</li>    
+<li> For a more in depth discussion on  CNNs we recommend Goodfellow et al chapters 9. See also chapter 11 and 12 on practicalities and applications</li>    
 <li> Reading suggestions for implementation of CNNs, see Raschka et al chapters 14-15 at <a href="https://github.com/rasbt/machine-learning-book" target="_self"><tt>https://github.com/rasbt/machine-learning-book</tt></a>.
 <!-- o Video  on Recurrent Neural Networks from MIT at <a href="https://www.youtube.com/watch?v=SEnXr6v2ifU&ab_channel=AlexanderAmini" target="_self"><tt>https://www.youtube.com/watch?v=SEnXr6v2ifU&ab_channel=AlexanderAmini</tt></a> -->
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doc/pub/week45/html/week45-reveal.html

@@ -203,7 +203,7 @@ <h2 id="plans-for-week-45">Plans for week 45 </h2>
 <!-- o These lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week45/ipynb/week45.ipynb" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week45/ipynb/week45.ipynb</tt></a> -->
 <!-- * <a href="https://youtu.be/z0x-vgyAZUk" target="_blank">Video of lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov9.pdf" target="_blank">Whiteboard notes</a> --></li>
-<p><li> For a more in depth discussion on  CNNs and recurrent neural networks we recommend Goodfellow et al chapters 9 and 10. See also chapter 11 and 12 on practicalities and applications</li>
+<p><li> For a more in depth discussion on  CNNs we recommend Goodfellow et al chapters 9. See also chapter 11 and 12 on practicalities and applications</li>
 
 <p><li> Reading suggestions for implementation of CNNs, see Raschka et al chapters 14-15 at <a href="https://github.com/rasbt/machine-learning-book" target="_blank"><tt>https://github.com/rasbt/machine-learning-book</tt></a>.
 <!-- o Video  on Recurrent Neural Networks from MIT at <a href="https://www.youtube.com/watch?v=SEnXr6v2ifU&ab_channel=AlexanderAmini" target="_blank"><tt>https://www.youtube.com/watch?v=SEnXr6v2ifU&ab_channel=AlexanderAmini</tt></a> -->

doc/pub/week45/html/week45-solarized.html

@@ -251,7 +251,7 @@ <h2 id="plans-for-week-45">Plans for week 45 </h2>
 <!-- o These lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week45/ipynb/week45.ipynb" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week45/ipynb/week45.ipynb</tt></a> -->
 <!-- * <a href="https://youtu.be/z0x-vgyAZUk" target="_blank">Video of lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov9.pdf" target="_blank">Whiteboard notes</a> --></li>
-<li> For a more in depth discussion on  CNNs and recurrent neural networks we recommend Goodfellow et al chapters 9 and 10. See also chapter 11 and 12 on practicalities and applications</li>    
+<li> For a more in depth discussion on  CNNs we recommend Goodfellow et al chapters 9. See also chapter 11 and 12 on practicalities and applications</li>    
 <li> Reading suggestions for implementation of CNNs, see Raschka et al chapters 14-15 at <a href="https://github.com/rasbt/machine-learning-book" target="_blank"><tt>https://github.com/rasbt/machine-learning-book</tt></a>.
 <!-- o Video  on Recurrent Neural Networks from MIT at <a href="https://www.youtube.com/watch?v=SEnXr6v2ifU&ab_channel=AlexanderAmini" target="_blank"><tt>https://www.youtube.com/watch?v=SEnXr6v2ifU&ab_channel=AlexanderAmini</tt></a> -->
 <ol type="a"></li>

doc/pub/week45/html/week45.html

@@ -328,7 +328,7 @@ <h2 id="plans-for-week-45">Plans for week 45 </h2>
 <!-- o These lecture notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week45/ipynb/week45.ipynb" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week45/ipynb/week45.ipynb</tt></a> -->
 <!-- * <a href="https://youtu.be/z0x-vgyAZUk" target="_blank">Video of lecture</a> -->
 <!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesNov9.pdf" target="_blank">Whiteboard notes</a> --></li>
-<li> For a more in depth discussion on  CNNs and recurrent neural networks we recommend Goodfellow et al chapters 9 and 10. See also chapter 11 and 12 on practicalities and applications</li>    
+<li> For a more in depth discussion on  CNNs we recommend Goodfellow et al chapters 9. See also chapter 11 and 12 on practicalities and applications</li>    
 <li> Reading suggestions for implementation of CNNs, see Raschka et al chapters 14-15 at <a href="https://github.com/rasbt/machine-learning-book" target="_blank"><tt>https://github.com/rasbt/machine-learning-book</tt></a>.
 <!-- o Video  on Recurrent Neural Networks from MIT at <a href="https://www.youtube.com/watch?v=SEnXr6v2ifU&ab_channel=AlexanderAmini" target="_blank"><tt>https://www.youtube.com/watch?v=SEnXr6v2ifU&ab_channel=AlexanderAmini</tt></a> -->
 <ol type="a"></li>