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changing week 7
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‎doc/pub/week7/html/week7-bs.html‎

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<!-- tocinfo
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{'highest level': 2,
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'sections': [('Plans for the week of March 3-7',
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'sections': [('Plans for the week of March 2-6',
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None,
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'plans-for-the-week-of-march-3-7'),
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'plans-for-the-week-of-march-2-6'),
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('What is a recurrent NN?', 2, None, 'what-is-a-recurrent-nn'),
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('Why RNNs?', 2, None, 'why-rnns'),
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('Basic layout, "Figures from Sebastian Rashcka et al, Machine '
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<li class="dropdown">
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<a href="#" class="dropdown-toggle" data-toggle="dropdown">Contents <b class="caret"></b></a>
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<ul class="dropdown-menu">
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<!-- navigation toc: --> <li><a href="#plans-for-the-week-of-march-3-7" style="font-size: 80%;">Plans for the week of March 3-7</a></li>
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<!-- navigation toc: --> <li><a href="#plans-for-the-week-of-march-2-6" style="font-size: 80%;">Plans for the week of March 2-6</a></li>
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<!-- navigation toc: --> <li><a href="#what-is-a-recurrent-nn" style="font-size: 80%;">What is a recurrent NN?</a></li>
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<!-- navigation toc: --> <li><a href="#why-rnns" style="font-size: 80%;">Why RNNs?</a></li>
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<!-- navigation toc: --> <li><a href="#basic-layout-figures-from-sebastian-rashcka-et-al-machine-learning-with-sickit-learn-and-pytorch-https-sebastianraschka-com-blog-2022-ml-pytorch-book-html" style="font-size: 80%;">Basic layout, "Figures from Sebastian Rashcka et al, Machine learning with Sickit-Learn and PyTorch":"https://sebastianraschka.com/blog/2022/ml-pytorch-book.html"</a></li>
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</center>
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<br>
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<center>
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<h4>March 6</h4>
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<h4>March 5</h4>
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</center> <!-- date -->
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<br>
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<!-- potential-jumbotron-button -->
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</div> <!-- end jumbotron -->
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<!-- !split -->
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<h2 id="plans-for-the-week-of-march-3-7" class="anchor">Plans for the week of March 3-7 </h2>
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<h2 id="plans-for-the-week-of-march-2-6" class="anchor">Plans for the week of March 2-6 </h2>
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<div class="panel panel-default">
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<div class="panel-body">
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<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
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<ol>
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<li> Reminder on basics of recurrent neural networks (RNNs)</li>
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<li> Mathematics of RNNs</li>
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<li> Writing our own codes for RNNs</li>
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<li> <a href="https://youtu.be/MeYh5rGIRBM" target="_self">Video of lecture</a></li>
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<li> "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf</li>
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<li> Writing our own codes for RNNs
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<!-- o <a href="https://youtu.be/MeYh5rGIRBM" target="_self">Video of lecture</a> -->
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<!-- o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf --></li>
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<li> Reading recommendations:
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<ol type="a"></li>
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<li> Goodfellow, Bengio and Courville's chapter 10 from <a href="https://www.deeplearningbook.org/" target="_self">Deep Learning</a></li>

‎doc/pub/week7/html/week7-reveal.html‎

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<h4>March 6</h4>
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<h4>March 5</h4>
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<br>
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</section>
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<h2 id="plans-for-the-week-of-march-3-7">Plans for the week of March 3-7 </h2>
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<h2 id="plans-for-the-week-of-march-2-6">Plans for the week of March 2-6 </h2>
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<div class="alert alert-block alert-block alert-text-normal">
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<b></b>
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<p>
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<ol>
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<p><li> Reminder on basics of recurrent neural networks (RNNs)</li>
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<p><li> Mathematics of RNNs</li>
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<p><li> Writing our own codes for RNNs</li>
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<p><li> <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a></li>
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<p><li> "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf</li>
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<p><li> Writing our own codes for RNNs
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<!-- o <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a> -->
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<!-- o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf --></li>
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<p><li> Reading recommendations:
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<ol type="a"></li>
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<p><li> Goodfellow, Bengio and Courville's chapter 10 from <a href="https://www.deeplearningbook.org/" target="_blank">Deep Learning</a></li>

‎doc/pub/week7/html/week7-solarized.html‎

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('What is a recurrent NN?', 2, None, 'what-is-a-recurrent-nn'),
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('Why RNNs?', 2, None, 'why-rnns'),
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('Basic layout, "Figures from Sebastian Rashcka et al, Machine '
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<h4>March 6</h4>
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<h4>March 5</h4>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="plans-for-the-week-of-march-3-7">Plans for the week of March 3-7 </h2>
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<h2 id="plans-for-the-week-of-march-2-6">Plans for the week of March 2-6 </h2>
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<div class="alert alert-block alert-block alert-text-normal">
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<b></b>
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<p>
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<ol>
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<li> Reminder on basics of recurrent neural networks (RNNs)</li>
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<li> Mathematics of RNNs</li>
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<li> Writing our own codes for RNNs</li>
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<li> <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a></li>
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<li> "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf</li>
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<li> Writing our own codes for RNNs
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<!-- o <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a> -->
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<!-- o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf --></li>
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<li> Reading recommendations:
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<ol type="a"></li>
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<li> Goodfellow, Bengio and Courville's chapter 10 from <a href="https://www.deeplearningbook.org/" target="_blank">Deep Learning</a></li>

‎doc/pub/week7/html/week7.html‎

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'sections': [('Plans for the week of March 3-7',
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'sections': [('Plans for the week of March 2-6',
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'plans-for-the-week-of-march-3-7'),
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('What is a recurrent NN?', 2, None, 'what-is-a-recurrent-nn'),
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('Why RNNs?', 2, None, 'why-rnns'),
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('Basic layout, "Figures from Sebastian Rashcka et al, Machine '
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<h4>March 6</h4>
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<h4>March 5</h4>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="plans-for-the-week-of-march-3-7">Plans for the week of March 3-7 </h2>
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<h2 id="plans-for-the-week-of-march-2-6">Plans for the week of March 2-6 </h2>
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<div class="alert alert-block alert-block alert-text-normal">
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<b></b>
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<p>
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<ol>
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<li> Reminder on basics of recurrent neural networks (RNNs)</li>
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<li> Mathematics of RNNs</li>
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<li> Writing our own codes for RNNs</li>
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<li> <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a></li>
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<li> "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf</li>
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<li> Writing our own codes for RNNs
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<!-- o <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a> -->
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<!-- o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf --></li>
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<li> Reading recommendations:
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<ol type="a"></li>
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<li> Goodfellow, Bengio and Courville's chapter 10 from <a href="https://www.deeplearningbook.org/" target="_blank">Deep Learning</a></li>

‎doc/pub/week7/ipynb/ipynb-week7-src.tar.gz‎

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‎doc/pub/week7/ipynb/week7.ipynb‎

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"source": [
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"# Advanced machine learning and data analysis for the physical sciences\n",
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"**Morten Hjorth-Jensen**, Department of Physics and Center for Computing in Science Education, University of Oslo, Norway\n",
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"\n",
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"Date: **March 6**"
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"Date: **March 5**"
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]
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"source": [
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"## Plans for the week of March 3-7\n",
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"## Plans for the week of March 2-6\n",
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"\n",
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"1. Reminder on basics of recurrent neural networks (RNNs)\n",
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"\n",
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"2. Mathematics of RNNs\n",
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"3. Writing our own codes for RNNs\n",
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"<!-- o [Video of lecture](https://youtu.be/MeYh5rGIRBM) -->\n",
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"<!-- o \"Whiteboard notes\":\"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf -->\n",
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"4. [Video of lecture](https://youtu.be/MeYh5rGIRBM)\n",
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"\n",
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"5. \"Whiteboard notes\":\"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf\n",
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"\n",
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"6. Reading recommendations:\n",
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"4. Reading recommendations:\n",
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"\n",
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"a. Goodfellow, Bengio and Courville's chapter 10 from [Deep Learning](https://www.deeplearningbook.org/)\n",
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"\n",
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‎doc/pub/week7/pdf/week7.pdf‎

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‎doc/src/week7/week7.do.txt‎

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TITLE: Advanced machine learning and data analysis for the physical sciences
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics and Center for Computing in Science Education, University of Oslo, Norway
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DATE: March 6
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DATE: March 5
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===== Plans for the week of March 3-7 =====
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===== Plans for the week of March 2-6 =====
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o Reminder on basics of recurrent neural networks (RNNs)
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o Mathematics of RNNs
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o Writing our own codes for RNNs
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o "Video of lecture":"https://youtu.be/MeYh5rGIRBM"
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o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf
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#o "Video of lecture":"https://youtu.be/MeYh5rGIRBM"
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#o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf
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o Reading recommendations:
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o Goodfellow, Bengio and Courville's chapter 10 from "Deep Learning":"https://www.deeplearningbook.org/"
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o "Sebastian Rashcka et al, chapter 15, Machine learning with Sickit-Learn and PyTorch":"https://sebastianraschka.com/blog/2022/ml-pytorch-book.html"

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