diff --git a/doc/pub/week43/html/week43-bs.html b/doc/pub/week43/html/week43-bs.html
index db2374592..c9b21698a 100644
--- a/doc/pub/week43/html/week43-bs.html
+++ b/doc/pub/week43/html/week43-bs.html
@@ -236,6 +236,9 @@ MathJax.Hub.Config({
 
 <ul>
 <li> Thursday: Summary of Convolutional Neural Networks from week 42 and Recurrent Neural Networks</li>
+<ul>
+  <li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober28.mp4?vrtx=view-as-webpage" target="_self">Video of Lecture</a></li>
+</ul>
 <li> Friday: Recurrent Neural Networks and other Deep Learning methods such as Generalized Adversarial Neural Networks. Start discussing Principal component analysis</li>
 </ul>
 <div class="panel panel-default">
diff --git a/doc/pub/week43/html/week43-reveal.html b/doc/pub/week43/html/week43-reveal.html
index 91a4249b3..56f8e8ae3 100644
--- a/doc/pub/week43/html/week43-reveal.html
+++ b/doc/pub/week43/html/week43-reveal.html
@@ -199,6 +199,11 @@ MathJax.Hub.Config({
 
 <ul>
 <p><li> Thursday: Summary of Convolutional Neural Networks from week 42 and Recurrent Neural Networks</li>
+<ul>
+
+<p><li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober28.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
+</ul>
+<p>
 <p><li> Friday: Recurrent Neural Networks and other Deep Learning methods such as Generalized Adversarial Neural Networks. Start discussing Principal component analysis</li>
 </ul>
 <p>
diff --git a/doc/pub/week43/html/week43-solarized.html b/doc/pub/week43/html/week43-solarized.html
index 46b8a50a8..6b37d9a1f 100644
--- a/doc/pub/week43/html/week43-solarized.html
+++ b/doc/pub/week43/html/week43-solarized.html
@@ -194,6 +194,9 @@ MathJax.Hub.Config({
 
 <ul>
 <li> Thursday: Summary of Convolutional Neural Networks from week 42 and Recurrent Neural Networks</li>
+<ul>
+  <li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober28.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
+</ul>
 <li> Friday: Recurrent Neural Networks and other Deep Learning methods such as Generalized Adversarial Neural Networks. Start discussing Principal component analysis</li>
 </ul>
 <div class="alert alert-block alert-block alert-text-normal">
diff --git a/doc/pub/week43/html/week43.html b/doc/pub/week43/html/week43.html
index f92ac1cfb..9d5cddd98 100644
--- a/doc/pub/week43/html/week43.html
+++ b/doc/pub/week43/html/week43.html
@@ -271,6 +271,9 @@ MathJax.Hub.Config({
 
 <ul>
 <li> Thursday: Summary of Convolutional Neural Networks from week 42 and Recurrent Neural Networks</li>
+<ul>
+  <li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober28.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
+</ul>
 <li> Friday: Recurrent Neural Networks and other Deep Learning methods such as Generalized Adversarial Neural Networks. Start discussing Principal component analysis</li>
 </ul>
 <div class="alert alert-block alert-block alert-text-normal">
diff --git a/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz b/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz
index 95d4d36ec..d2f5d2e25 100644
Binary files a/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz and b/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz differ
diff --git a/doc/pub/week43/ipynb/week43.ipynb b/doc/pub/week43/ipynb/week43.ipynb
index 90d362561..be1d02adf 100644
--- a/doc/pub/week43/ipynb/week43.ipynb
+++ b/doc/pub/week43/ipynb/week43.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "9e4136dc",
+   "id": "b1a2512a",
    "metadata": {
     "editable": true
    },
@@ -14,7 +14,7 @@
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   {
    "cell_type": "markdown",
-   "id": "d104a88e",
+   "id": "884a4eec",
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@@ -29,7 +29,7 @@
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   {
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-   "id": "8370cb8d",
+   "id": "c6f9bd15",
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     "editable": true
    },
@@ -38,6 +38,8 @@
     "\n",
     "* Thursday: Summary of Convolutional Neural Networks from week 42 and Recurrent Neural Networks\n",
     "\n",
+    "  * [Video of Lecture](https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober28.mp4?vrtx=view-as-webpage)\n",
+    "\n",
     "* Friday: Recurrent Neural Networks and other Deep Learning methods such as Generalized Adversarial Neural Networks. Start discussing Principal component analysis\n",
     "\n",
     "**Excellent lectures on CNNs and RNNs.**\n",
@@ -57,7 +59,7 @@
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   {
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+   "id": "fc7cc0f8",
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@@ -71,7 +73,7 @@
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+   "id": "2627b40f",
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@@ -85,7 +87,7 @@
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@@ -116,7 +118,7 @@
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@@ -143,7 +145,7 @@
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@@ -155,7 +157,7 @@
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@@ -166,7 +168,7 @@
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+   "id": "2b6e7a93",
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@@ -247,7 +249,7 @@
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+   "id": "94be91fe",
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@@ -263,7 +265,7 @@
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-   "id": "1abc480a",
+   "id": "2bd5c1ff",
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@@ -302,7 +304,7 @@
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+   "id": "ba39a657",
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@@ -346,7 +348,7 @@
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-   "id": "433a8f93",
+   "id": "730c86ce",
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     "editable": true
@@ -429,7 +431,7 @@
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@@ -440,7 +442,7 @@
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-   "id": "b1ad9290",
+   "id": "a7e6d1c8",
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@@ -542,7 +544,7 @@
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+   "id": "12e77a06",
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@@ -564,7 +566,7 @@
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-   "id": "7adcce2b",
+   "id": "7ac9b8ef",
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     "editable": true
@@ -661,7 +663,7 @@
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   {
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+   "id": "5515b214",
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@@ -687,7 +689,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "b7d92f8e",
+   "id": "9a4bb356",
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     "editable": true
@@ -888,7 +890,7 @@
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   {
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+   "id": "2ad0be29",
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@@ -912,7 +914,7 @@
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+   "id": "bba61009",
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@@ -932,7 +934,7 @@
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+   "id": "15ffa0cb",
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@@ -950,7 +952,7 @@
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   {
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-   "id": "f02c8236",
+   "id": "83761910",
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@@ -965,7 +967,7 @@
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+   "id": "807c499e",
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@@ -983,7 +985,7 @@
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   {
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-   "id": "be0984ce",
+   "id": "cd6c5a40",
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     "editable": true
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@@ -996,7 +998,7 @@
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   {
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-   "id": "6dbb10b7",
+   "id": "0547a7c5",
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@@ -1014,7 +1016,7 @@
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   {
    "cell_type": "markdown",
-   "id": "19054ff7",
+   "id": "4688234e",
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@@ -1025,7 +1027,7 @@
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-   "id": "af0db997",
+   "id": "5f92bf31",
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@@ -1043,7 +1045,7 @@
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   {
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-   "id": "ca1b339f",
+   "id": "063d323f",
    "metadata": {
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@@ -1070,7 +1072,7 @@
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   {
    "cell_type": "markdown",
-   "id": "e1bd5507",
+   "id": "2bfa66eb",
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@@ -1082,7 +1084,7 @@
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   {
    "cell_type": "markdown",
-   "id": "5809cef1",
+   "id": "da8a3c34",
    "metadata": {
     "editable": true
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@@ -1101,7 +1103,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "234ec234",
+   "id": "57d222af",
    "metadata": {
     "editable": true
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@@ -1111,7 +1113,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3a694706",
+   "id": "6c96024d",
    "metadata": {
     "editable": true
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@@ -1131,7 +1133,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3bbfef3d",
+   "id": "df853ef1",
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@@ -1143,7 +1145,7 @@
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   {
    "cell_type": "markdown",
-   "id": "a9b4bebb",
+   "id": "30243273",
    "metadata": {
     "editable": true
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@@ -1161,7 +1163,7 @@
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   {
    "cell_type": "markdown",
-   "id": "48dda622",
+   "id": "e77924b7",
    "metadata": {
     "editable": true
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@@ -1173,7 +1175,7 @@
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   {
    "cell_type": "markdown",
-   "id": "944b3b08",
+   "id": "7a1c6563",
    "metadata": {
     "editable": true
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@@ -1194,7 +1196,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3d914ca3",
+   "id": "e5a01aaf",
    "metadata": {
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@@ -1211,7 +1213,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "f5e18490",
+   "id": "42e71a7a",
    "metadata": {
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     "editable": true
@@ -1229,7 +1231,7 @@
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   {
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-   "id": "e225976e",
+   "id": "4a1970f1",
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@@ -1240,7 +1242,7 @@
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    "execution_count": 8,
-   "id": "196ebe09",
+   "id": "a0bf7025",
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@@ -1266,7 +1268,7 @@
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+   "id": "e4575f59",
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@@ -1279,7 +1281,7 @@
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-   "id": "fa659e09",
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@@ -1292,7 +1294,7 @@
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@@ -1311,7 +1313,7 @@
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-   "id": "0ac5ef66",
+   "id": "bd5bac76",
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     "editable": true
@@ -1379,7 +1381,7 @@
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+   "id": "5ed98b7b",
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@@ -1392,7 +1394,7 @@
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-   "id": "0267c4c9",
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@@ -1432,7 +1434,7 @@
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@@ -1444,7 +1446,7 @@
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-   "id": "95781b75",
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@@ -1458,7 +1460,7 @@
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-   "id": "3f855e77",
+   "id": "530ec249",
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@@ -1471,7 +1473,7 @@
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@@ -1482,7 +1484,7 @@
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-   "id": "59bb0c37",
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@@ -1496,7 +1498,7 @@
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@@ -1511,7 +1513,7 @@
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@@ -1527,7 +1529,7 @@
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-   "id": "5b636638",
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@@ -1544,7 +1546,7 @@
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@@ -1556,7 +1558,7 @@
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@@ -1570,7 +1572,7 @@
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@@ -1586,7 +1588,7 @@
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@@ -1620,7 +1622,7 @@
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@@ -1633,7 +1635,7 @@
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@@ -1658,7 +1660,7 @@
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@@ -1672,7 +1674,7 @@
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@@ -1690,7 +1692,7 @@
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@@ -1701,7 +1703,7 @@
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@@ -1741,7 +1743,7 @@
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@@ -1753,7 +1755,7 @@
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@@ -1765,7 +1767,7 @@
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@@ -1779,7 +1781,7 @@
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@@ -1796,7 +1798,7 @@
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@@ -1810,7 +1812,7 @@
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@@ -1827,7 +1829,7 @@
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@@ -1843,7 +1845,7 @@
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@@ -1871,7 +1873,7 @@
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@@ -1894,7 +1896,7 @@
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@@ -1907,7 +1909,7 @@
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@@ -1923,7 +1925,7 @@
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@@ -1950,7 +1952,7 @@
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@@ -1965,7 +1967,7 @@
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@@ -1981,7 +1983,7 @@
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@@ -1992,7 +1994,7 @@
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@@ -2010,7 +2012,7 @@
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@@ -2028,7 +2030,7 @@
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@@ -2039,7 +2041,7 @@
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@@ -2063,7 +2065,7 @@
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@@ -2090,7 +2092,7 @@
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@@ -2106,7 +2108,7 @@
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@@ -2120,7 +2122,7 @@
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@@ -2130,7 +2132,7 @@
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@@ -2142,7 +2144,7 @@
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@@ -2152,7 +2154,7 @@
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@@ -2164,7 +2166,7 @@
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@@ -2174,7 +2176,7 @@
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@@ -2188,7 +2190,7 @@
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@@ -2202,7 +2204,7 @@
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@@ -2214,7 +2216,7 @@
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@@ -2227,7 +2229,7 @@
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@@ -2241,7 +2243,7 @@
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@@ -2254,7 +2256,7 @@
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@@ -2273,7 +2275,7 @@
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@@ -2285,7 +2287,7 @@
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@@ -2297,7 +2299,7 @@
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@@ -2307,7 +2309,7 @@
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@@ -2319,7 +2321,7 @@
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@@ -2332,7 +2334,7 @@
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@@ -2351,7 +2353,7 @@
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@@ -2361,7 +2363,7 @@
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@@ -2380,7 +2382,7 @@
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@@ -2394,7 +2396,7 @@
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@@ -2412,7 +2414,7 @@
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@@ -2427,7 +2429,7 @@
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@@ -2448,7 +2450,7 @@
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@@ -2465,7 +2467,7 @@
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@@ -2497,7 +2499,7 @@
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@@ -2514,7 +2516,7 @@
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-   "id": "a42aa184",
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@@ -2538,7 +2540,7 @@
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@@ -2549,7 +2551,7 @@
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@@ -2603,7 +2605,7 @@
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@@ -2620,7 +2622,7 @@
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@@ -2632,7 +2634,7 @@
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@@ -2642,7 +2644,7 @@
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@@ -2659,7 +2661,7 @@
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@@ -2669,7 +2671,7 @@
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@@ -2684,7 +2686,7 @@
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@@ -2694,7 +2696,7 @@
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@@ -2708,7 +2710,7 @@
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@@ -2720,7 +2722,7 @@
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@@ -2732,7 +2734,7 @@
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@@ -2744,7 +2746,7 @@
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@@ -2759,7 +2761,7 @@
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@@ -2771,7 +2773,7 @@
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@@ -2781,7 +2783,7 @@
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@@ -2793,7 +2795,7 @@
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@@ -2803,7 +2805,7 @@
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@@ -2815,7 +2817,7 @@
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@@ -2838,7 +2840,7 @@
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@@ -2851,7 +2853,7 @@
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@@ -2870,7 +2872,7 @@
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@@ -2888,7 +2890,7 @@
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@@ -2901,7 +2903,7 @@
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@@ -2915,7 +2917,7 @@
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@@ -2931,7 +2933,7 @@
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-   "id": "e0023c95",
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@@ -2950,7 +2952,7 @@
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@@ -2962,7 +2964,7 @@
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@@ -2974,7 +2976,7 @@
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@@ -2984,7 +2986,7 @@
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@@ -2996,7 +2998,7 @@
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@@ -3010,7 +3012,7 @@
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-   "id": "c3c8bf1e",
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@@ -3026,7 +3028,7 @@
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@@ -3046,7 +3048,7 @@
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@@ -3058,7 +3060,7 @@
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@@ -3070,7 +3072,7 @@
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-   "id": "7a18be5a",
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@@ -3083,7 +3085,7 @@
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@@ -3095,7 +3097,7 @@
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-   "id": "42375598",
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@@ -3119,7 +3121,7 @@
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@@ -3130,7 +3132,7 @@
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@@ -3154,7 +3156,7 @@
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@@ -3166,7 +3168,7 @@
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@@ -3184,7 +3186,7 @@
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@@ -3216,7 +3218,7 @@
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@@ -3226,7 +3228,7 @@
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@@ -3264,7 +3266,7 @@
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@@ -3276,7 +3278,7 @@
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@@ -3286,7 +3288,7 @@
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@@ -3298,7 +3300,7 @@
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@@ -3308,7 +3310,7 @@
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@@ -3320,7 +3322,7 @@
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@@ -3330,7 +3332,7 @@
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@@ -3342,7 +3344,7 @@
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@@ -3368,7 +3370,7 @@
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@@ -3387,7 +3389,7 @@
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@@ -3422,7 +3424,7 @@
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@@ -3439,7 +3441,7 @@
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@@ -3452,7 +3454,7 @@
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@@ -3467,7 +3469,7 @@
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@@ -3483,7 +3485,7 @@
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@@ -3496,7 +3498,7 @@
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@@ -3508,7 +3510,7 @@
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   {
    "cell_type": "markdown",
-   "id": "d59e8f5c",
+   "id": "5a256bd6",
    "metadata": {
     "editable": true
    },
@@ -3520,7 +3522,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "19553389",
+   "id": "c3ea4d8e",
    "metadata": {
     "editable": true
    },
@@ -3533,7 +3535,7 @@
   {
    "cell_type": "code",
    "execution_count": 45,
-   "id": "6b5b8d42",
+   "id": "4ccb71cd",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -3572,7 +3574,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7e50dc25",
+   "id": "985c80ee",
    "metadata": {
     "editable": true
    },
@@ -3590,7 +3592,7 @@
   {
    "cell_type": "code",
    "execution_count": 46,
-   "id": "473fbedc",
+   "id": "213e8674",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -3605,7 +3607,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "670ccca8",
+   "id": "6c8a6faf",
    "metadata": {
     "editable": true
    },
@@ -3618,7 +3620,7 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "id": "45f40681",
+   "id": "5152b41f",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -3631,7 +3633,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "93686a53",
+   "id": "2c779e67",
    "metadata": {
     "editable": true
    },
@@ -3647,7 +3649,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0038db65",
+   "id": "cb2e571a",
    "metadata": {
     "editable": true
    },
@@ -3662,7 +3664,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0bb96452",
+   "id": "b0f40f3a",
    "metadata": {
     "editable": true
    },
@@ -3683,7 +3685,7 @@
   {
    "cell_type": "code",
    "execution_count": 48,
-   "id": "8fb0a10c",
+   "id": "a92cd7b1",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -3697,7 +3699,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e8276c18",
+   "id": "73eb6324",
    "metadata": {
     "editable": true
    },
diff --git a/doc/src/week43/week43.do.txt b/doc/src/week43/week43.do.txt
index dfc0414c8..8fb853379 100644
--- a/doc/src/week43/week43.do.txt
+++ b/doc/src/week43/week43.do.txt
@@ -6,6 +6,7 @@ DATE: today
 ===== Plans for week 43 =====
 
 * Thursday: Summary of Convolutional Neural Networks from week 42 and Recurrent Neural Networks
+  * "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureOctober28.mp4?vrtx=view-as-webpage"
 * Friday: Recurrent Neural Networks and other Deep Learning methods such as Generalized Adversarial Neural Networks. Start discussing Principal component analysis