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small update on lecture notes and schedule

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Morten Hjorth-Jensen
2021-10-27 07:21:07 +02:00
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commit 6fef28a7b8
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doc/LectureNotes/_build/.doctrees/environment.pickle
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doc/LectureNotes/_build/html/_sources/schedule.md
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@@ -134,10 +134,11 @@ For the reading assignments we use the following abbreviations:
### Week 43 October 25-29
- Lab Wednesday: Work on project 2
- Lecture Thursday: Recurrent Neural Networks
- Lecture Friday: Recurrent Neural Networks and time series
- Lecture Friday: Recurrent Neural Networks and principal component analysis (PCA)
- Reading recommendations:
- See lecture notes for week 43 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For RNNs, see Goodfellow et al chapter 10 and discussions in chapter 11 and 12 on practicalities and applications
- For PCA see lecture notes (jupyter book) chapter 11 and also chapter 12 on clustering. Geron's chapter 8 is also a good read.
### Week 44 November 1-5
- Lab Wednesday: Work on project 2
doc/LectureNotes/_build/html/schedule.html
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<ul class="simple">
<li><p>Lab Wednesday: Work on project 2</p></li>
<li><p>Lecture Thursday: Recurrent Neural Networks</p></li>
<li><p>Lecture Friday: Recurrent Neural Networks and time series</p></li>
<li><p>Lecture Friday: Recurrent Neural Networks and principal component analysis (PCA)</p></li>
<li><p>Reading recommendations:</p>
<ul>
<li><p>See lecture notes for week 43 at <a class="reference external" href="https://compphysics.github.io/MachineLearning/doc/web/course.html">https://compphysics.github.io/MachineLearning/doc/web/course.html</a>.</p></li>
<li><p>For RNNs, see Goodfellow et al chapter 10 and discussions in chapter 11 and 12 on practicalities and applications</p></li>
<li><p>For PCA see lecture notes (jupyter book) chapter 11 and also chapter 12 on clustering. Geron’s chapter 8 is also a good read.</p></li>
</ul>
</li>
</ul>
doc/LectureNotes/_build/html/searchindex.js
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doc/LectureNotes/schedule.md
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@@ -134,10 +134,11 @@ For the reading assignments we use the following abbreviations:
### Week 43 October 25-29
- Lab Wednesday: Work on project 2
- Lecture Thursday: Recurrent Neural Networks
- Lecture Friday: Recurrent Neural Networks and time series
- Lecture Friday: Recurrent Neural Networks and principal component analysis (PCA)
- Reading recommendations:
- See lecture notes for week 43 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
- For RNNs, see Goodfellow et al chapter 10 and discussions in chapter 11 and 12 on practicalities and applications
- For PCA see lecture notes (jupyter book) chapter 11 and also chapter 12 on clustering. Geron's chapter 8 is also a good read.
### Week 44 November 1-5
- Lab Wednesday: Work on project 2