updating website

This commit is contained in:
Morten Hjorth-Jensen
2022-10-26 06:40:49 +02:00
parent b84e394d58
commit 0a6ec05d26
4 changed files with 11 additions and 9 deletions
+3
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@@ -216,3 +216,6 @@ output in course.html
running mako on course.do.txt to make tmp_mako__course.do.txt
Translating doconce text in tmp_mako__course.do.txt to ipynb
output in course.ipynb
running mako on course.do.txt to make tmp_mako__course.do.txt
Translating doconce text in tmp_mako__course.do.txt to html
output in course.html
+1 -1
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@@ -14,7 +14,7 @@ chapters = {
'week40': 'Week 40 October 3-7: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm',
'week41': 'Week 41 October 10-14: Building a multi-layer perceptron code and introduction to Tensorflow',
'week42': 'Week 42 October 17-21: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks)',
'week43': 'Week 43 October 24-28: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks, Principal Component Analysis',
'week43': 'Week 43 October 24-28: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks',
'week44': 'Week 44 October 31- November 4: Principal Component analysis, Clustering and Decision Trees',
'week45': 'Week 45 November 7-11: Decision Trees, Random Forests and Gradient Boosting',
'week46': 'Week 46 November 14-18: Gradient boosting and Support Vector Machines',
+6 -7
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@@ -165,11 +165,10 @@ div.toc p,a {
None,
'week-42-october-17-21-deep-learning-solving-differential-equations-with-nns-and-convolutional-neural-networks'),
('Week 43 October 24-28: Deep learning, Convolutional Neural '
'Networks and Recurrent Neural Networks, Principal Component '
'Analysis',
'Networks and Recurrent Neural Networks',
2,
None,
'week-43-october-24-28-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks-principal-component-analysis'),
'week-43-october-24-28-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks'),
('Week 44 October 31- November 4: Principal Component analysis, '
'Clustering and Decision Trees',
2,
@@ -195,10 +194,10 @@ div.toc p,a {
2,
None,
'projects-fall-2022-dates-are-tentative'),
('Project 1, Deadline October 7 (available September 5)',
('Project 1, Deadline October 11 (available September 5)',
3,
None,
'project-1-deadline-october-7-available-september-5'),
'project-1-deadline-october-11-available-september-5'),
('Project 2, Deadline November 11 (available October 7)',
3,
None,
@@ -355,7 +354,7 @@ end of tocinfo -->
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/ipynb/week42.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="week-43-october-24-28-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks-principal-component-analysis">Week 43 October 24-28: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks, Principal Component Analysis </h2>
<h2 id="week-43-october-24-28-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks">Week 43 October 24-28: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks </h2>
<ul>
<li> HTML:</li>
@@ -439,7 +438,7 @@ end of tocinfo -->
</ul>
<!-- !split -->
<h2 id="projects-fall-2022-dates-are-tentative">Projects Fall 2022 (dates are tentative) </h2>
<h3 id="project-1-deadline-october-7-available-september-5">Project 1, Deadline October 7 (available September 5) </h3>
<h3 id="project-1-deadline-october-11-available-september-5">Project 1, Deadline October 11 (available September 5) </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
+1 -1
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@@ -123,7 +123,7 @@ The teaching material is produced in various formats for running codes (jupyter
* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week42/ipynb/week42.ipynb"
===== Week 43 October 24-28: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks, Principal Component Analysis =====
===== Week 43 October 24-28: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks =====