updated course
This commit is contained in:
Morten Hjorth-Jensen
@@ -195,3 +195,6 @@ output in course.html
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running mako on course.do.txt to make tmp_mako__course.do.txt
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Translating doconce text in tmp_mako__course.do.txt to html
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output in course.html
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running mako on course.do.txt to make tmp_mako__course.do.txt
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Translating doconce text in tmp_mako__course.do.txt to html
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output in course.html
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@@ -12,13 +12,13 @@ chapters = {
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'week38': 'Week 38 September 20-24: Summary of linear regression methods and start Logistic Regression',
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'week39': 'Week 39 September 27- October 1: Logistic Regression and Gradient methods',
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'week40': 'Week 40 October 4-8: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm',
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'week41': 'Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow and Convolutional Neural Networks',
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'week42': 'Week 42 October 18-22: Deep learning (Convolutional Neural Networks and Recurrent Neural Networks',
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'week43': 'Week 43 October 25-29: Dimesionality Reduction, Principal Component analysis',
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'week41': 'Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow',
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'week42': 'Week 42 October 18-22: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks)',
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'week43': 'Week 43 October 25-29: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks',
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'week44': 'Week 44 November 1-5: Decision Trees and Bagging',
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'week45': 'Week 45 November 8-12: Random Forests and Gradient Boosting',
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'week45': 'Week 45 November 8-12: Random Forests and Gradient Boosting and Workshop on Project 3',
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'week46': 'Week 46 November 15-19: Gradient boosting and Support Vector Machines',
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'week47': 'Week 47 November 22-26: Support Vector Machines and Workshop on Project 3',
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'week47': 'Week 47 November 22-26: Support Vector Machines',
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'week48': 'Week 48 November 29- December 3: Support Vector Machines and Summary of Course with Future Perspectives',
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}
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+19
-20
@@ -80,39 +80,38 @@ div { text-align: justify; text-justify: inter-word; }
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None,
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'week-40-october-4-8-stochastic-gradient-descent-and-neural-networks-starting-to-build-a-multi-layer-perceptron-model-the-back-propagation-algoritm'),
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('Week 41 October 11-15: Building a multi-layer perceptron code '
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'and introduction to Tensorflow and Convolutional Neural '
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'Networks',
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'and introduction to Tensorflow',
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2,
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None,
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'week-41-october-11-15-building-a-multi-layer-perceptron-code-and-introduction-to-tensorflow-and-convolutional-neural-networks'),
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('Week 42 October 18-22: Deep learning (Convolutional Neural '
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'week-41-october-11-15-building-a-multi-layer-perceptron-code-and-introduction-to-tensorflow'),
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('Week 42 October 18-22: Deep learning, Solving Differential '
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'Equations with NNs and Convolutional Neural Networks)',
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2,
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None,
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'week-42-october-18-22-deep-learning-solving-differential-equations-with-nns-and-convolutional-neural-networks'),
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('Week 43 October 25-29: Deep learning, Convolutional Neural '
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'Networks and Recurrent Neural Networks',
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2,
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None,
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'week-42-october-18-22-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks'),
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('Week 43 October 25-29: Dimesionality Reduction, Principal '
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'Component analysis',
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2,
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None,
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'week-43-october-25-29-dimesionality-reduction-principal-component-analysis'),
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'week-43-october-25-29-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks'),
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('Week 44 November 1-5: Decision Trees and Bagging',
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2,
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None,
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'week-44-november-1-5-decision-trees-and-bagging'),
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('Week 45 November 8-12: Random Forests and Gradient Boosting',
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('Week 45 November 8-12: Random Forests and Gradient Boosting '
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'and Workshop on Project 3',
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2,
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None,
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'week-45-november-8-12-random-forests-and-gradient-boosting'),
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'week-45-november-8-12-random-forests-and-gradient-boosting-and-workshop-on-project-3'),
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('Week 46 November 15-19: Gradient boosting and Support Vector '
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'Machines',
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2,
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None,
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'week-46-november-15-19-gradient-boosting-and-support-vector-machines'),
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('Week 47 November 22-26: Support Vector Machines and Workshop '
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'on Project 3',
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('Week 47 November 22-26: Support Vector Machines',
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2,
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None,
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'week-47-november-22-26-support-vector-machines-and-workshop-on-project-3'),
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'week-47-november-22-26-support-vector-machines'),
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('Week 48 November 29- December 3: Support Vector Machines and '
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'Summary of Course with Future Perspectives',
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2,
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@@ -296,7 +295,7 @@ The teaching material is produced in various formats for running codes (jupyter
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</ul>
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<h2 id="week-41-october-11-15-building-a-multi-layer-perceptron-code-and-introduction-to-tensorflow-and-convolutional-neural-networks">Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow and Convolutional Neural Networks </h2>
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<h2 id="week-41-october-11-15-building-a-multi-layer-perceptron-code-and-introduction-to-tensorflow">Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow </h2>
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<ul>
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<li> HTML:</li>
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@@ -315,7 +314,7 @@ The teaching material is produced in various formats for running codes (jupyter
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</ul>
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<h2 id="week-42-october-18-22-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks">Week 42 October 18-22: Deep learning (Convolutional Neural Networks and Recurrent Neural Networks </h2>
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<h2 id="week-42-october-18-22-deep-learning-solving-differential-equations-with-nns-and-convolutional-neural-networks">Week 42 October 18-22: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks) </h2>
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<ul>
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<li> HTML:</li>
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@@ -334,7 +333,7 @@ The teaching material is produced in various formats for running codes (jupyter
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</ul>
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<h2 id="week-43-october-25-29-dimesionality-reduction-principal-component-analysis">Week 43 October 25-29: Dimesionality Reduction, Principal Component analysis </h2>
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<h2 id="week-43-october-25-29-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks">Week 43 October 25-29: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks </h2>
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<ul>
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<li> HTML:</li>
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@@ -372,7 +371,7 @@ The teaching material is produced in various formats for running codes (jupyter
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</ul>
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<h2 id="week-45-november-8-12-random-forests-and-gradient-boosting">Week 45 November 8-12: Random Forests and Gradient Boosting </h2>
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<h2 id="week-45-november-8-12-random-forests-and-gradient-boosting-and-workshop-on-project-3">Week 45 November 8-12: Random Forests and Gradient Boosting and Workshop on Project 3 </h2>
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<ul>
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<li> HTML:</li>
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@@ -410,7 +409,7 @@ The teaching material is produced in various formats for running codes (jupyter
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</ul>
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<h2 id="week-47-november-22-26-support-vector-machines-and-workshop-on-project-3">Week 47 November 22-26: Support Vector Machines and Workshop on Project 3 </h2>
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<h2 id="week-47-november-22-26-support-vector-machines">Week 47 November 22-26: Support Vector Machines </h2>
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<ul>
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<li> HTML:</li>
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@@ -4,3 +4,6 @@ output in schedule.html
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running preprocess -DFORMAT=html -DDEVICE=screen schedule.do.txt > tmp_preprocess__schedule.do.txt
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translating doconce text in tmp_preprocess__schedule.do.txt to html
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output in schedule.html
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running preprocess -DFORMAT=html -DDEVICE=screen schedule.do.txt > tmp_preprocess__schedule.do.txt
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Translating doconce text in tmp_preprocess__schedule.do.txt to html
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output in schedule.html
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+10
-6
@@ -1,11 +1,12 @@
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<!--
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Automatically generated HTML file from DocOnce source
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(https://github.com/hplgit/doconce/)
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(https://github.com/doconce/doconce/)
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-->
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<html>
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<meta name="generator" content="DocOnce: https://github.com/hplgit/doconce/" />
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<meta name="generator" content="DocOnce: https://github.com/doconce/doconce/" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<meta name="description" content="Tentative schedule for FYS-STK3155/4155">
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<title>Tentative schedule for FYS-STK3155/4155</title>
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@@ -14,8 +15,8 @@ Automatically generated HTML file from DocOnce source
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<style type="text/css">
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/* blueish style */
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/* Color definitions: http://www.december.com/html/spec/color0.html
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CSS examples: http://www.w3schools.com/css/css_examples.asp */
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/* Color definitions: https://www.december.com/html/spec/color0.html
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CSS examples: https://www.w3schools.com/css/css_examples.asp */
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body {
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margin-top: 1.0em;
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@@ -42,7 +43,10 @@ div { text-align: justify; text-justify: inter-word; }
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<!-- tocinfo
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{'highest level': 2,
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'sections': [('Teaching schedule Fall 2018', 2, None, '___sec0')]}
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'sections': [('Teaching schedule Fall 2018',
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2,
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None,
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'teaching-schedule-fall-2018')]}
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end of tocinfo -->
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<body>
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@@ -72,7 +76,7 @@ end of tocinfo -->
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<p>
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<!-- !split -->
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<h2 id="___sec0">Teaching schedule Fall 2018 </h2>
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<h2 id="teaching-schedule-fall-2018">Teaching schedule Fall 2018 </h2>
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<p>
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Acronyms for textbooks and references to chapter
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@@ -99,7 +99,7 @@ The teaching material is produced in various formats for running codes (jupyter
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week40/ipynb/week40.ipynb"
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===== Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow and Convolutional Neural Networks =====
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===== Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow =====
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@@ -111,7 +111,7 @@ The teaching material is produced in various formats for running codes (jupyter
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week41/ipynb/week41.ipynb"
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===== Week 42 October 18-22: Deep learning (Convolutional Neural Networks and Recurrent Neural Networks =====
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===== Week 42 October 18-22: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks) =====
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@@ -123,7 +123,7 @@ The teaching material is produced in various formats for running codes (jupyter
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week42/ipynb/week42.ipynb"
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===== Week 43 October 25-29: Dimesionality Reduction, Principal Component analysis =====
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===== Week 43 October 25-29: Deep learning, Convolutional Neural Networks and Recurrent Neural Networks =====
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@@ -147,7 +147,7 @@ The teaching material is produced in various formats for running codes (jupyter
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week44/ipynb/week44.ipynb"
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===== Week 45 November 8-12: Random Forests and Gradient Boosting =====
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===== Week 45 November 8-12: Random Forests and Gradient Boosting and Workshop on Project 3 =====
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@@ -171,7 +171,7 @@ The teaching material is produced in various formats for running codes (jupyter
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* "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week46/ipynb/week46.ipynb"
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===== Week 47 November 22-26: Support Vector Machines and Workshop on Project 3 =====
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===== Week 47 November 22-26: Support Vector Machines =====
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