changing week 7

Author: mhjensen

doc/pub/week7/html/week7-bs.html

@@ -36,10 +36,10 @@
 
 <!-- tocinfo
 {'highest level': 2,
- 'sections': [('Plans for the week of March 3-7',
+ 'sections': [('Plans for the week of March 2-6',
                2,
                None,
-               'plans-for-the-week-of-march-3-7'),
+               'plans-for-the-week-of-march-2-6'),
               ('What is a recurrent NN?', 2, None, 'what-is-a-recurrent-nn'),
               ('Why RNNs?', 2, None, 'why-rnns'),
               ('Basic layout,  "Figures from Sebastian Rashcka et al, Machine '
@@ -132,7 +132,7 @@
       <li class="dropdown">
         <a href="#" class="dropdown-toggle" data-toggle="dropdown">Contents <b class="caret"></b></a>
         <ul class="dropdown-menu">
-     <!-- 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>
+     <!-- 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>
      <!-- navigation toc: --> <li><a href="#what-is-a-recurrent-nn" style="font-size: 80%;">What is a recurrent NN?</a></li>
      <!-- navigation toc: --> <li><a href="#why-rnns" style="font-size: 80%;">Why RNNs?</a></li>
      <!-- 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>
@@ -174,25 +174,25 @@ <h1>Advanced machine learning and data analysis for the physical sciences</h1>
 </center>
 <br>
 <center>
-<h4>March 6</h4>
+<h4>March 5</h4>
 </center> <!-- date -->
 <br>
 
 <!-- potential-jumbotron-button -->
 </div> <!-- end jumbotron -->
 
 <!-- !split -->
-<h2 id="plans-for-the-week-of-march-3-7" class="anchor">Plans for the week of March 3-7  </h2>
+<h2 id="plans-for-the-week-of-march-2-6" class="anchor">Plans for the week of March 2-6  </h2>
 
 <div class="panel panel-default">
 <div class="panel-body">
 <!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
 <ol>
 <li> Reminder on basics of recurrent neural networks (RNNs)</li>
 <li> Mathematics of RNNs</li>
-<li> Writing our own codes for RNNs</li>
-<li> <a href="https://youtu.be/MeYh5rGIRBM" target="_self">Video of lecture</a></li>
-<li> "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf</li>
+<li> Writing our own codes for RNNs
+<!-- o <a href="https://youtu.be/MeYh5rGIRBM" target="_self">Video of lecture</a> -->
+<!-- o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf --></li>
 <li> Reading recommendations:
 <ol type="a"></li>
  <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

@@ -181,7 +181,7 @@ <h1 style="text-align: center;">Advanced machine learning and data analysis for
 </center>
 <br>
 <center>
-<h4>March 6</h4>
+<h4>March 5</h4>
 </center> <!-- date -->
 <br>
 
@@ -192,17 +192,17 @@ <h4>March 6</h4>
 </section>
 
 <section>
-<h2 id="plans-for-the-week-of-march-3-7">Plans for the week of March 3-7  </h2>
+<h2 id="plans-for-the-week-of-march-2-6">Plans for the week of March 2-6  </h2>
 
 <div class="alert alert-block alert-block alert-text-normal">
 <b></b>
 <p>
 <ol>
 <p><li> Reminder on basics of recurrent neural networks (RNNs)</li>
 <p><li> Mathematics of RNNs</li>
-<p><li> Writing our own codes for RNNs</li>
-<p><li> <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a></li>
-<p><li> "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf</li>
+<p><li> Writing our own codes for RNNs
+<!-- o <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a> -->
+<!-- o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf --></li>
 <p><li> Reading recommendations:
 <ol type="a"></li>
  <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

@@ -63,10 +63,10 @@
 
 <!-- tocinfo
 {'highest level': 2,
- 'sections': [('Plans for the week of March 3-7',
+ 'sections': [('Plans for the week of March 2-6',
                2,
                None,
-               'plans-for-the-week-of-march-3-7'),
+               'plans-for-the-week-of-march-2-6'),
               ('What is a recurrent NN?', 2, None, 'what-is-a-recurrent-nn'),
               ('Why RNNs?', 2, None, 'why-rnns'),
               ('Basic layout,  "Figures from Sebastian Rashcka et al, Machine '
@@ -159,22 +159,22 @@ <h1>Advanced machine learning and data analysis for the physical sciences</h1>
 </center>
 <br>
 <center>
-<h4>March 6</h4>
+<h4>March 5</h4>
 </center> <!-- date -->
 <br>
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
-<h2 id="plans-for-the-week-of-march-3-7">Plans for the week of March 3-7  </h2>
+<h2 id="plans-for-the-week-of-march-2-6">Plans for the week of March 2-6  </h2>
 
 <div class="alert alert-block alert-block alert-text-normal">
 <b></b>
 <p>
 <ol>
 <li> Reminder on basics of recurrent neural networks (RNNs)</li>
 <li> Mathematics of RNNs</li>
-<li> Writing our own codes for RNNs</li>
-<li> <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a></li>
-<li> "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf</li>
+<li> Writing our own codes for RNNs
+<!-- o <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a> -->
+<!-- o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf --></li>
 <li> Reading recommendations:
 <ol type="a"></li>
  <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

@@ -140,10 +140,10 @@
 
 <!-- tocinfo
 {'highest level': 2,
- 'sections': [('Plans for the week of March 3-7',
+ 'sections': [('Plans for the week of March 2-6',
                2,
                None,
-               'plans-for-the-week-of-march-3-7'),
+               'plans-for-the-week-of-march-2-6'),
               ('What is a recurrent NN?', 2, None, 'what-is-a-recurrent-nn'),
               ('Why RNNs?', 2, None, 'why-rnns'),
               ('Basic layout,  "Figures from Sebastian Rashcka et al, Machine '
@@ -236,22 +236,22 @@ <h1>Advanced machine learning and data analysis for the physical sciences</h1>
 </center>
 <br>
 <center>
-<h4>March 6</h4>
+<h4>March 5</h4>
 </center> <!-- date -->
 <br>
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
-<h2 id="plans-for-the-week-of-march-3-7">Plans for the week of March 3-7  </h2>
+<h2 id="plans-for-the-week-of-march-2-6">Plans for the week of March 2-6  </h2>
 
 <div class="alert alert-block alert-block alert-text-normal">
 <b></b>
 <p>
 <ol>
 <li> Reminder on basics of recurrent neural networks (RNNs)</li>
 <li> Mathematics of RNNs</li>
-<li> Writing our own codes for RNNs</li>
-<li> <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a></li>
-<li> "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf</li>
+<li> Writing our own codes for RNNs
+<!-- o <a href="https://youtu.be/MeYh5rGIRBM" target="_blank">Video of lecture</a> -->
+<!-- o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf --></li>
 <li> Reading recommendations:
 <ol type="a"></li>
  <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

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "2e9df165",
+   "id": "199d1d62",
    "metadata": {
     "editable": true
    },
@@ -14,37 +14,35 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8d2e3ba3",
+   "id": "e073a57c",
    "metadata": {
     "editable": true
    },
    "source": [
     "# Advanced machine learning and data analysis for the physical sciences\n",
     "**Morten Hjorth-Jensen**, Department of Physics and Center for Computing in Science Education, University of Oslo, Norway\n",
     "\n",
-    "Date: **March 6**"
+    "Date: **March 5**"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "60bcfd05",
+   "id": "e8abbc99",
    "metadata": {
     "editable": true
    },
    "source": [
-    "## Plans for the week of March 3-7\n",
+    "## Plans for the week of March 2-6\n",
     "\n",
     "1. Reminder on basics of recurrent neural networks (RNNs)\n",
     "\n",
     "2. Mathematics of RNNs\n",
     "\n",
     "3. Writing our own codes for RNNs\n",
+    "<!-- o [Video of lecture](https://youtu.be/MeYh5rGIRBM) -->\n",
+    "<!-- o \"Whiteboard notes\":\"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf -->\n",
     "\n",
-    "4. [Video of lecture](https://youtu.be/MeYh5rGIRBM)\n",
-    "\n",
-    "5. \"Whiteboard notes\":\"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf\n",
-    "\n",
-    "6. Reading recommendations:\n",
+    "4. Reading recommendations:\n",
     "\n",
     "a. Goodfellow, Bengio and Courville's chapter 10 from [Deep Learning](https://www.deeplearningbook.org/)\n",
     "\n",
@@ -57,7 +55,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0875ad23",
+   "id": "0c6c0653",
    "metadata": {
     "editable": true
    },
@@ -78,7 +76,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4b3bc6ff",
+   "id": "92a07b2a",
    "metadata": {
     "editable": true
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@@ -100,7 +98,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1a5d8045",
+   "id": "dcab54f6",
    "metadata": {
     "editable": true
    },
@@ -116,7 +114,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b8620ba2",
+   "id": "35567089",
    "metadata": {
     "editable": true
    },
@@ -132,7 +130,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a4204887",
+   "id": "87e79ba2",
    "metadata": {
     "editable": true
    },
@@ -148,7 +146,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6303caf2",
+   "id": "90196592",
    "metadata": {
     "editable": true
    },
@@ -164,7 +162,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "579a3e09",
+   "id": "4ba6bdf7",
    "metadata": {
     "editable": true
    },
@@ -180,7 +178,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8a879d38",
+   "id": "6b78faae",
    "metadata": {
     "editable": true
    },
@@ -196,7 +194,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7930ce08",
+   "id": "7424357f",
    "metadata": {
     "editable": true
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@@ -212,7 +210,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "850d2d15",
+   "id": "7ed93718",
    "metadata": {
     "editable": true
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@@ -228,7 +226,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d5fce222",
+   "id": "b1923109",
    "metadata": {
     "editable": true
    },
@@ -249,7 +247,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bdf76896",
+   "id": "a3edab7f",
    "metadata": {
     "editable": true
    },
@@ -268,7 +266,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "31005fd6",
+   "id": "2784ee73",
    "metadata": {
     "editable": true
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@@ -293,7 +291,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6ee2e70b",
+   "id": "3cd8c869",
    "metadata": {
     "editable": true
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@@ -305,7 +303,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bd5842f9",
+   "id": "9aaedf01",
    "metadata": {
     "editable": true
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@@ -322,7 +320,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3406a1ad",
+   "id": "b06e466a",
    "metadata": {
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doc/pub/week7/ipynb/week7.ipynb

@@ -1,16 +1,16 @@
 TITLE: Advanced machine learning and data analysis for the physical sciences
 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
-DATE: March 6
+DATE: March 5
 
 !split
-===== Plans for the week of March 3-7  =====
+===== Plans for the week of March 2-6  =====
 
 !bblock
 o Reminder on basics of recurrent neural networks (RNNs)
 o Mathematics of RNNs
 o Writing our own codes for RNNs
-o "Video of lecture":"https://youtu.be/MeYh5rGIRBM"
-o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf
+#o "Video of lecture":"https://youtu.be/MeYh5rGIRBM"
+#o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch6.pdf
 o Reading recommendations:
   o Goodfellow, Bengio and Courville's chapter 10 from "Deep Learning":"https://www.deeplearningbook.org/"
   o "Sebastian Rashcka et al, chapter 15, Machine learning with Sickit-Learn and PyTorch":"https://sebastianraschka.com/blog/2022/ml-pytorch-book.html"