diff --git a/doc/pub/week41/html/._week41-bs000.html b/doc/pub/week41/html/._week41-bs000.html
index a85aacc57..e1eadc26b 100644
--- a/doc/pub/week41/html/._week41-bs000.html
+++ b/doc/pub/week41/html/._week41-bs000.html
@@ -468,11 +468,11 @@ MathJax.Hub.Config({
 [1] <b>Department of Physics, University of Oslo</b>
 </center>
 <center>
-[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b>
+[2] <b>Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</b>
 </center>
 <br>
 <center>
-<h4>Oct 8, 2022</h4>
+<h4>Oct 9, 2022</h4>
 </center> <!-- date -->
 <br>
 
diff --git a/doc/pub/week41/html/._week41-bs001.html b/doc/pub/week41/html/._week41-bs001.html
index 76a569a0d..65a23e882 100644
--- a/doc/pub/week41/html/._week41-bs001.html
+++ b/doc/pub/week41/html/._week41-bs001.html
@@ -460,7 +460,7 @@ MathJax.Hub.Config({
 <li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
 <li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks.</li> 
 </ul>
-<p>Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_self">Aurelien Geron's chapters 10-11</a>.
+<p>Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_self">Aurelien Geron's chapters 10-11</a>.
 For a more in depth discussion on  neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read.
 </p>
 
diff --git a/doc/pub/week41/html/week41-bs.html b/doc/pub/week41/html/week41-bs.html
index a85aacc57..e1eadc26b 100644
--- a/doc/pub/week41/html/week41-bs.html
+++ b/doc/pub/week41/html/week41-bs.html
@@ -468,11 +468,11 @@ MathJax.Hub.Config({
 [1] <b>Department of Physics, University of Oslo</b>
 </center>
 <center>
-[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b>
+[2] <b>Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</b>
 </center>
 <br>
 <center>
-<h4>Oct 8, 2022</h4>
+<h4>Oct 9, 2022</h4>
 </center> <!-- date -->
 <br>
 
diff --git a/doc/pub/week41/html/week41-reveal.html b/doc/pub/week41/html/week41-reveal.html
index 20057ecc5..8b6d29ef0 100644
--- a/doc/pub/week41/html/week41-reveal.html
+++ b/doc/pub/week41/html/week41-reveal.html
@@ -180,11 +180,11 @@ MathJax.Hub.Config({
 [1] <b>Department of Physics, University of Oslo</b>
 </center>
 <center>
-[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b>
+[2] <b>Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</b>
 </center>
 <br>
 <center>
-<h4>Oct 8, 2022</h4>
+<h4>Oct 9, 2022</h4>
 </center> <!-- date -->
 <br>
 
@@ -202,7 +202,7 @@ MathJax.Hub.Config({
 <p><li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks.</li> 
 </ul>
 <p>
-<p>Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
+<p>Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
 For a more in depth discussion on  neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read.
 </p>
 </section>
diff --git a/doc/pub/week41/html/week41-solarized.html b/doc/pub/week41/html/week41-solarized.html
index 1cc6f1c42..3888793ff 100644
--- a/doc/pub/week41/html/week41-solarized.html
+++ b/doc/pub/week41/html/week41-solarized.html
@@ -368,11 +368,11 @@ MathJax.Hub.Config({
 [1] <b>Department of Physics, University of Oslo</b>
 </center>
 <center>
-[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b>
+[2] <b>Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</b>
 </center>
 <br>
 <center>
-<h4>Oct 8, 2022</h4>
+<h4>Oct 9, 2022</h4>
 </center> <!-- date -->
 <br>
 
@@ -383,7 +383,7 @@ MathJax.Hub.Config({
 <li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
 <li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks.</li> 
 </ul>
-<p>Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
+<p>Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
 For a more in depth discussion on  neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read.
 </p>
 
diff --git a/doc/pub/week41/html/week41.html b/doc/pub/week41/html/week41.html
index 41c0f6748..e04f7ea0c 100644
--- a/doc/pub/week41/html/week41.html
+++ b/doc/pub/week41/html/week41.html
@@ -445,11 +445,11 @@ MathJax.Hub.Config({
 [1] <b>Department of Physics, University of Oslo</b>
 </center>
 <center>
-[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b>
+[2] <b>Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University</b>
 </center>
 <br>
 <center>
-<h4>Oct 8, 2022</h4>
+<h4>Oct 9, 2022</h4>
 </center> <!-- date -->
 <br>
 
@@ -460,7 +460,7 @@ MathJax.Hub.Config({
 <li> Thursday: Building our own Feed-forward Neural Network and discussion of project 2.</li>
 <li> Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks.</li> 
 </ul>
-<p>Reading suggestions for both days: <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
+<p>Reading suggestions for both days: These notes, <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" target="_blank">Aurelien Geron's chapters 10-11</a>.
 For a more in depth discussion on  neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read.
 </p>
 
diff --git a/doc/pub/week41/ipynb/ipynb-week41-src.tar.gz b/doc/pub/week41/ipynb/ipynb-week41-src.tar.gz
index 0cb30edc7..b8731c835 100644
Binary files a/doc/pub/week41/ipynb/ipynb-week41-src.tar.gz and b/doc/pub/week41/ipynb/ipynb-week41-src.tar.gz differ
diff --git a/doc/pub/week41/ipynb/week41.ipynb b/doc/pub/week41/ipynb/week41.ipynb
index 71645e174..9cfaa1eb2 100644
--- a/doc/pub/week41/ipynb/week41.ipynb
+++ b/doc/pub/week41/ipynb/week41.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "57c550f1",
+   "id": "1633ece4",
    "metadata": {
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@@ -14,22 +14,22 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fe181353",
+   "id": "e415a060",
    "metadata": {
     "editable": true
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    "source": [
     "# Week 41 Constructing a Neural Network code, Tensor flow and start Convolutional Neural Networks\n",
-    "**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University\n",
+    "**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University\n",
     "\n",
-    "Date: **Oct 8, 2022**\n",
+    "Date: **Oct 9, 2022**\n",
     "\n",
     "Copyright 1999-2022, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "bb9c4e9b",
+   "id": "a7951a6a",
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@@ -40,13 +40,13 @@
     "\n",
     "* Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks. \n",
     "\n",
-    "Reading suggestions for both days: [Aurelien Geron's chapters 10-11](https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf).\n",
+    "Reading suggestions for both days: These notes, [Aurelien Geron's chapters 10-11](https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf).\n",
     "For a more in depth discussion on  neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "9e822cce",
+   "id": "6f0828aa",
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@@ -60,7 +60,7 @@
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@@ -95,7 +95,7 @@
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@@ -105,7 +105,7 @@
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@@ -127,7 +127,7 @@
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@@ -190,7 +190,7 @@
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@@ -202,7 +202,7 @@
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@@ -212,7 +212,7 @@
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@@ -224,7 +224,7 @@
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-   "id": "25cbce60",
+   "id": "3bb02a77",
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@@ -235,7 +235,7 @@
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@@ -247,7 +247,7 @@
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@@ -260,7 +260,7 @@
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@@ -285,7 +285,7 @@
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@@ -298,7 +298,7 @@
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+   "id": "946a338d",
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@@ -310,7 +310,7 @@
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-   "id": "da74c822",
+   "id": "ca36f71b",
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@@ -322,7 +322,7 @@
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-   "id": "1c427f87",
+   "id": "2581eefb",
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@@ -332,7 +332,7 @@
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@@ -344,7 +344,7 @@
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@@ -356,7 +356,7 @@
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@@ -368,7 +368,7 @@
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@@ -380,7 +380,7 @@
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@@ -390,7 +390,7 @@
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@@ -402,7 +402,7 @@
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   {
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+   "id": "fb1c0f51",
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@@ -412,7 +412,7 @@
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-   "id": "79ece634",
+   "id": "b7db26cd",
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@@ -424,7 +424,7 @@
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@@ -437,7 +437,7 @@
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@@ -449,7 +449,7 @@
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@@ -459,7 +459,7 @@
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@@ -471,7 +471,7 @@
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@@ -482,7 +482,7 @@
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-   "id": "d29b3784",
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@@ -494,7 +494,7 @@
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@@ -504,7 +504,7 @@
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@@ -526,7 +526,7 @@
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@@ -537,7 +537,7 @@
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@@ -733,7 +733,7 @@
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@@ -923,7 +923,7 @@
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@@ -1178,7 +1178,7 @@
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@@ -1257,7 +1257,7 @@
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@@ -1278,7 +1278,7 @@
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@@ -1292,7 +1292,7 @@
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@@ -1402,7 +1402,7 @@
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@@ -1421,7 +1421,7 @@
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@@ -1448,7 +1448,7 @@
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@@ -1462,7 +1462,7 @@
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@@ -1493,7 +1493,7 @@
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@@ -1504,7 +1504,7 @@
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@@ -1548,7 +1548,7 @@
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@@ -1571,7 +1571,7 @@
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@@ -1598,7 +1598,7 @@
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@@ -1609,7 +1609,7 @@
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@@ -1654,7 +1654,7 @@
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@@ -1681,7 +1681,7 @@
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@@ -1719,7 +1719,7 @@
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@@ -1731,7 +1731,7 @@
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@@ -1746,7 +1746,7 @@
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@@ -1756,7 +1756,7 @@
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@@ -1769,7 +1769,7 @@
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@@ -1845,7 +1845,7 @@
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@@ -1855,7 +1855,7 @@
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@@ -1866,7 +1866,7 @@
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@@ -1934,7 +1934,7 @@
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@@ -1952,7 +1952,7 @@
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@@ -1987,7 +1987,7 @@
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@@ -1999,7 +1999,7 @@
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@@ -2011,7 +2011,7 @@
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@@ -2024,7 +2024,7 @@
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@@ -2035,7 +2035,7 @@
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@@ -2048,7 +2048,7 @@
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@@ -2063,7 +2063,7 @@
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@@ -2075,7 +2075,7 @@
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@@ -2087,7 +2087,7 @@
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@@ -2100,7 +2100,7 @@
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@@ -2155,7 +2155,7 @@
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@@ -2184,7 +2184,7 @@
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@@ -2214,7 +2214,7 @@
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@@ -2241,7 +2241,7 @@
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@@ -2283,7 +2283,7 @@
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@@ -2294,7 +2294,7 @@
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@@ -2471,7 +2471,7 @@
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@@ -2490,7 +2490,7 @@
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@@ -2518,7 +2518,7 @@
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@@ -2541,7 +2541,7 @@
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@@ -2572,7 +2572,7 @@
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@@ -2604,7 +2604,7 @@
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@@ -2642,7 +2642,7 @@
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@@ -2667,7 +2667,7 @@
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@@ -2679,7 +2679,7 @@
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@@ -2702,7 +2702,7 @@
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@@ -2722,7 +2722,7 @@
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@@ -2744,7 +2744,7 @@
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@@ -2762,7 +2762,7 @@
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@@ -2781,7 +2781,7 @@
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@@ -2793,7 +2793,7 @@
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@@ -2838,7 +2838,7 @@
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@@ -2868,7 +2868,7 @@
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@@ -2898,7 +2898,7 @@
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@@ -2911,7 +2911,7 @@
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@@ -2934,7 +2934,7 @@
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@@ -2948,7 +2948,7 @@
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@@ -2965,7 +2965,7 @@
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@@ -2981,7 +2981,7 @@
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@@ -2993,7 +2993,7 @@
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@@ -3011,7 +3011,7 @@
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@@ -3032,7 +3032,7 @@
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@@ -3049,7 +3049,7 @@
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@@ -3061,7 +3061,7 @@
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@@ -3072,7 +3072,7 @@
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@@ -3089,7 +3089,7 @@
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@@ -3100,7 +3100,7 @@
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@@ -3116,7 +3116,7 @@
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@@ -3128,7 +3128,7 @@
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@@ -3145,7 +3145,7 @@
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@@ -3157,7 +3157,7 @@
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@@ -3175,7 +3175,7 @@
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@@ -3185,7 +3185,7 @@
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@@ -3197,7 +3197,7 @@
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@@ -3214,7 +3214,7 @@
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@@ -3226,7 +3226,7 @@
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@@ -3237,7 +3237,7 @@
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@@ -3249,7 +3249,7 @@
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@@ -3259,7 +3259,7 @@
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@@ -3279,7 +3279,7 @@
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@@ -3296,7 +3296,7 @@
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@@ -3315,7 +3315,7 @@
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@@ -3327,7 +3327,7 @@
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@@ -3337,7 +3337,7 @@
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@@ -3354,7 +3354,7 @@
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@@ -3364,7 +3364,7 @@
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@@ -3380,7 +3380,7 @@
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@@ -3392,7 +3392,7 @@
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@@ -3404,7 +3404,7 @@
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@@ -3416,7 +3416,7 @@
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@@ -3426,7 +3426,7 @@
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@@ -3438,7 +3438,7 @@
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@@ -3455,7 +3455,7 @@
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@@ -3465,7 +3465,7 @@
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@@ -3477,7 +3477,7 @@
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@@ -3491,7 +3491,7 @@
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@@ -3507,7 +3507,7 @@
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@@ -3519,7 +3519,7 @@
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@@ -3541,7 +3541,7 @@
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@@ -3553,7 +3553,7 @@
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@@ -3576,7 +3576,7 @@
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@@ -3592,7 +3592,7 @@
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@@ -3604,7 +3604,7 @@
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@@ -3628,7 +3628,7 @@
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@@ -3640,7 +3640,7 @@
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@@ -3661,7 +3661,7 @@
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@@ -3673,7 +3673,7 @@
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@@ -3692,7 +3692,7 @@
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@@ -3702,7 +3702,7 @@
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@@ -3716,7 +3716,7 @@
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@@ -3728,7 +3728,7 @@
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@@ -3740,7 +3740,7 @@
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@@ -3757,7 +3757,7 @@
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@@ -3769,7 +3769,7 @@
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@@ -3791,7 +3791,7 @@
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@@ -3806,7 +3806,7 @@
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@@ -3817,7 +3817,7 @@
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@@ -3972,7 +3972,7 @@
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@@ -3987,7 +3987,7 @@
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@@ -4156,7 +4156,7 @@
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@@ -4169,7 +4169,7 @@
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@@ -4186,7 +4186,7 @@
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@@ -4202,7 +4202,7 @@
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@@ -4215,7 +4215,7 @@
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@@ -4232,7 +4232,7 @@
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@@ -4244,7 +4244,7 @@
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@@ -4271,7 +4271,7 @@
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@@ -4284,7 +4284,7 @@
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@@ -4458,7 +4458,7 @@
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@@ -4478,7 +4478,7 @@
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@@ -4493,7 +4493,7 @@
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@@ -4507,7 +4507,7 @@
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@@ -4523,7 +4523,7 @@
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@@ -4533,7 +4533,7 @@
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@@ -4555,7 +4555,7 @@
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@@ -4569,7 +4569,7 @@
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@@ -4645,7 +4645,7 @@
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@@ -4657,7 +4657,7 @@
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@@ -4674,7 +4674,7 @@
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@@ -4686,7 +4686,7 @@
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@@ -4701,7 +4701,7 @@
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@@ -4713,7 +4713,7 @@
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@@ -4725,7 +4725,7 @@
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@@ -4737,7 +4737,7 @@
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@@ -4747,7 +4747,7 @@
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@@ -4764,7 +4764,7 @@
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@@ -4776,7 +4776,7 @@
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@@ -4788,7 +4788,7 @@
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@@ -4798,7 +4798,7 @@
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@@ -4810,7 +4810,7 @@
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@@ -4821,7 +4821,7 @@
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@@ -4982,7 +4982,7 @@
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@@ -5004,7 +5004,7 @@
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@@ -5021,7 +5021,7 @@
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@@ -5031,7 +5031,7 @@
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@@ -5046,7 +5046,7 @@
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@@ -5056,7 +5056,7 @@
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@@ -5071,7 +5071,7 @@
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@@ -5082,7 +5082,7 @@
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@@ -5102,7 +5102,7 @@
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@@ -5114,7 +5114,7 @@
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@@ -5151,7 +5151,7 @@
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@@ -5161,7 +5161,7 @@
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@@ -5174,7 +5174,7 @@
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@@ -5375,7 +5375,7 @@
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@@ -5392,7 +5392,7 @@
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@@ -5409,7 +5409,7 @@
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@@ -5419,7 +5419,7 @@
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@@ -5434,7 +5434,7 @@
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@@ -5448,7 +5448,7 @@
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@@ -5461,7 +5461,7 @@
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@@ -5481,7 +5481,7 @@
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@@ -5493,7 +5493,7 @@
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@@ -5505,7 +5505,7 @@
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@@ -5517,7 +5517,7 @@
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@@ -5527,7 +5527,7 @@
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@@ -5539,7 +5539,7 @@
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@@ -5551,7 +5551,7 @@
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@@ -5563,7 +5563,7 @@
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@@ -5573,7 +5573,7 @@
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@@ -5589,7 +5589,7 @@
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@@ -5599,7 +5599,7 @@
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@@ -5611,7 +5611,7 @@
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@@ -5628,7 +5628,7 @@
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@@ -5638,7 +5638,7 @@
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@@ -5654,7 +5654,7 @@
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@@ -5668,7 +5668,7 @@
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@@ -5687,7 +5687,7 @@
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@@ -5742,7 +5742,7 @@
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@@ -5772,7 +5772,7 @@
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@@ -5801,7 +5801,7 @@
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@@ -5848,7 +5848,7 @@
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@@ -5874,7 +5874,7 @@
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@@ -6108,7 +6108,7 @@
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@@ -6120,7 +6120,7 @@
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@@ -6132,7 +6132,7 @@
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-   "id": "af37d907",
+   "id": "4cd80ad5",
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@@ -6144,7 +6144,7 @@
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-   "id": "d7400cf8",
+   "id": "88fd9ec0",
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@@ -6161,7 +6161,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f0e2aa45",
+   "id": "a04931d9",
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@@ -6171,7 +6171,7 @@
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   {
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-   "id": "b43a81c3",
+   "id": "537251f6",
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@@ -6183,7 +6183,7 @@
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   {
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-   "id": "74a0d1d1",
+   "id": "c9acba2f",
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@@ -6200,7 +6200,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f78cac2b",
+   "id": "997e8a22",
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@@ -6211,7 +6211,7 @@
   },
   {
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-   "id": "b0a4db19",
+   "id": "6db10bba",
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@@ -6231,7 +6231,7 @@
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-   "id": "8cc97dc1",
+   "id": "2191f32f",
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@@ -6241,7 +6241,7 @@
   },
   {
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-   "id": "7fa952c5",
+   "id": "d306770f",
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@@ -6267,7 +6267,7 @@
   },
   {
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-   "id": "e7367d0c",
+   "id": "0c9f3199",
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@@ -6283,7 +6283,7 @@
   },
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-   "id": "113dbcb8",
+   "id": "1485b594",
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@@ -6294,7 +6294,7 @@
   {
    "cell_type": "code",
    "execution_count": 33,
-   "id": "1f24bd58",
+   "id": "e10b3ec2",
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     "editable": true
@@ -6525,7 +6525,7 @@
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-   "id": "79329c76",
+   "id": "d51e5284",
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diff --git a/doc/src/week41/week41.do.txt b/doc/src/week41/week41.do.txt
index d45f041d4..566b95aa5 100644
--- a/doc/src/week41/week41.do.txt
+++ b/doc/src/week41/week41.do.txt
@@ -1,5 +1,5 @@
 TITLE: Week 41 Constructing a Neural Network code, Tensor flow and start Convolutional Neural Networks
-AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
+AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University
 DATE: today
 
 
@@ -9,7 +9,7 @@ DATE: today
 * Thursday: Building our own Feed-forward Neural Network and discussion of project 2.
 * Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks. 
 
-Reading suggestions for both days: "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf".
+Reading suggestions for both days: These notes, "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf".
 For a more in depth discussion on  neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read.
 
 !split