Morten Hjorth-Jensen
244 lines
11 KiB
HTML
244 lines
11 KiB
HTML
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<a class="navbar-brand" href="week43-bs.html">Week 43: Deep Learning: Recurrent Neural Networks and other methods</a>
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<ul class="dropdown-menu">
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<!-- navigation toc: --> <li><a href="._week43-bs001.html#plans-for-week-43" style="font-size: 80%;">Plans for week 43</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs002.html#reading-recommendations" style="font-size: 80%;">Reading Recommendations</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs003.html#summary-on-deep-learning-methods" style="font-size: 80%;">Summary on Deep Learning Methods</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs004.html#cnns-in-brief" style="font-size: 80%;">CNNs in brief</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs005.html#recurrent-neural-networks-overarching-view" style="font-size: 80%;">Recurrent neural networks: Overarching view</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs006.html#set-up-of-an-rnn" style="font-size: 80%;">Set up of an RNN</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs007.html#a-simple-example" style="font-size: 80%;">A simple example</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs008.html#an-extrapolation-example" style="font-size: 80%;">An extrapolation example</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs009.html#formatting-the-data" style="font-size: 80%;">Formatting the Data</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs010.html#predicting-new-points-with-a-trained-recurrent-neural-network" style="font-size: 80%;">Predicting New Points With A Trained Recurrent Neural Network</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs011.html#other-things-to-try" style="font-size: 80%;">Other Things to Try</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs012.html#other-types-of-recurrent-neural-networks" style="font-size: 80%;">Other Types of Recurrent Neural Networks</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs013.html#generative-models" style="font-size: 80%;">Generative Models</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs014.html#generative-adversarial-networks" style="font-size: 80%;">Generative Adversarial Networks</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs015.html#discriminator" style="font-size: 80%;">Discriminator</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs016.html#learning-process" style="font-size: 80%;">Learning Process</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs017.html#more-about-the-learning-process" style="font-size: 80%;">More about the Learning Process</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs018.html#additional-references" style="font-size: 80%;">Additional References</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs019.html#writing-our-first-generative-adversarial-network" style="font-size: 80%;">Writing Our First Generative Adversarial Network</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs020.html#mnist-and-gans" style="font-size: 80%;">MNIST and GANs</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs021.html#other-models" style="font-size: 80%;">Other Models</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs022.html#training-step" style="font-size: 80%;">Training Step</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs023.html#checkpoints" style="font-size: 80%;">Checkpoints</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs024.html#exploring-the-latent-space" style="font-size: 80%;">Exploring the Latent Space</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs025.html#getting-results" style="font-size: 80%;">Getting Results</a></li>
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<!-- navigation toc: --> <li><a href="._week43-bs026.html#interpolating-between-mnist-digits" style="font-size: 80%;">Interpolating Between MNIST Digits</a></li>
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<!-- ------------------- main content ---------------------- -->
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<div class="jumbotron">
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<center><h1>Week 43: Deep Learning: Recurrent Neural Networks and other methods</h1></center> <!-- document title -->
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<p>
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<!-- author(s): Morten Hjorth-Jensen -->
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<center>
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<b>Morten Hjorth-Jensen</b> [1, 2]
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<!-- institution(s) -->
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<center>[1] <b>Department of Physics, University of Oslo</b></center>
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<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
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<br>
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<center><h4>Oct 26, 2021</h4></center> <!-- date -->
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<br>
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<p><a href="._week43-bs001.html" class="btn btn-primary btn-lg">Read »</a></p>
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<li class="active"><a href="._week43-bs000.html">1</a></li>
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<li><a href="._week43-bs001.html">2</a></li>
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<li><a href="._week43-bs002.html">3</a></li>
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<li><a href="._week43-bs003.html">4</a></li>
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<li><a href="._week43-bs004.html">5</a></li>
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<li><a href="._week43-bs005.html">6</a></li>
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<li><a href="._week43-bs006.html">7</a></li>
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<li><a href="._week43-bs007.html">8</a></li>
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<li><a href="._week43-bs008.html">9</a></li>
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<li><a href="._week43-bs009.html">10</a></li>
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<li><a href="">...</a></li>
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<li><a href="._week43-bs026.html">27</a></li>
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<li><a href="._week43-bs001.html">»</a></li>
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<!-- copyright --> © 1999-2021, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
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