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Morten Hjorth-Jensen
2021-12-08 06:59:22 +01:00
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commit 7ca589a654
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doc/LectureNotes/_build/html/intro.html
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11. Basic ideas of the Principal Component Analysis (PCA)
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</li>
<li class="toctree-l1">
<a class="reference internal" href="clustering.html">
12. Clustering and Unsupervised Learning
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<p class="caption" role="heading">
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@@ -205,17 +210,27 @@
<ul class="nav bd-sidenav">
<li class="toctree-l1">
<a class="reference internal" href="chapter9.html">
12. Neural networks
13. Neural networks
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="chapter10.html">
13. Building a Feed Forward Neural Network
14. Building a Feed Forward Neural Network
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</li>
<li class="toctree-l1">
<a class="reference internal" href="chapter11.html">
14. Solving Differential Equations with Deep Learning
15. Solving Differential Equations with Deep Learning
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="chapter12.html">
16. Convolutional Neural Networks
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<li class="toctree-l1">
<a class="reference internal" href="chapter13.html">
17. Recurrent neural networks: Overarching view
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