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correcting typos

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Morten Hjorth-Jensen
2025-10-20 07:59:28 +02:00
parent b0ef411bea
commit 034d9552c8
7 changed files with 250 additions and 250 deletions
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doc/pub/week43/html/week43-bs.html
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@@ -397,7 +397,7 @@ MathJax.Hub.Config({
<div class="panel-body">
<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
<ol>
<li> Reminder from last week, see lalso ecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li>
<li> Reminder from last week, see also lecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li>
<li> Building our own Feed-forward Neural Network.</li>
<li> Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..</li>
<li> Start discussions on how to use neural networks for solving differential equations (ordinary and partial ones). This topic continues next week as well.
doc/pub/week43/html/week43-reveal.html
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@@ -198,7 +198,7 @@ MathJax.Hub.Config({
<b>Material for the lecture on Monday October 20, 2025</b>
<p>
<ol>
<p><li> Reminder from last week, see lalso ecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li>
<p><li> Reminder from last week, see also lecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li>
<p><li> Building our own Feed-forward Neural Network.</li>
<p><li> Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..</li>
<p><li> Start discussions on how to use neural networks for solving differential equations (ordinary and partial ones). This topic continues next week as well.
doc/pub/week43/html/week43-solarized.html
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@@ -318,7 +318,7 @@ MathJax.Hub.Config({
<b>Material for the lecture on Monday October 20, 2025</b>
<p>
<ol>
<li> Reminder from last week, see lalso ecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li>
<li> Reminder from last week, see also lecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li>
<li> Building our own Feed-forward Neural Network.</li>
<li> Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..</li>
<li> Start discussions on how to use neural networks for solving differential equations (ordinary and partial ones). This topic continues next week as well.
doc/pub/week43/html/week43.html
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@@ -395,7 +395,7 @@ MathJax.Hub.Config({
<b>Material for the lecture on Monday October 20, 2025</b>
<p>
<ol>
<li> Reminder from last week, see lalso ecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li>
<li> Reminder from last week, see also lecture notes from week 42 at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html</tt></a> as well as those from week 41, see see <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html</tt></a>.</li>
<li> Building our own Feed-forward Neural Network.</li>
<li> Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..</li>
<li> Start discussions on how to use neural networks for solving differential equations (ordinary and partial ones). This topic continues next week as well.
doc/pub/week43/ipynb/ipynb-week43-src.tar.gz
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doc/pub/week43/ipynb/week43.ipynb
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doc/src/week43/week43.do.txt
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@@ -6,7 +6,7 @@ DATE: October 20, 2025
===== Plans for week 43 =====
!bblock Material for the lecture on Monday October 20, 2025
o Reminder from last week, see lalso ecture notes from week 42 at URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" as well as those from week 41, see see URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html".
o Reminder from last week, see also lecture notes from week 42 at URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" as well as those from week 41, see see URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html".
o Building our own Feed-forward Neural Network.
o Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..
o Start discussions on how to use neural networks for solving differential equations (ordinary and partial ones). This topic continues next week as well.