From 11db7a6d06624241ac001f788be8dbf621f68c35 Mon Sep 17 00:00:00 2001
From: Morten Hjorth-Jensen <morten.hjorth-jensen@fys.uio.no>
Date: Mon, 30 Sep 2024 13:00:34 +0200
Subject: [PATCH] correcting typo week 40

---
 doc/pub/week40/html/._week40-bs002.html      |   2 +-
 doc/pub/week40/html/week40-reveal.html       |   2 +-
 doc/pub/week40/html/week40-solarized.html    |   2 +-
 doc/pub/week40/html/week40.html              |   2 +-
 doc/pub/week40/ipynb/ipynb-week40-src.tar.gz | Bin 526744 -> 526744 bytes
 doc/pub/week40/ipynb/week40.ipynb            | 356 +++++++++----------
 doc/src/week40/week40.do.txt                 |   2 +-
 7 files changed, 183 insertions(+), 183 deletions(-)

diff --git a/doc/pub/week40/html/._week40-bs002.html b/doc/pub/week40/html/._week40-bs002.html
index b8e8ec424..ea218983a 100644
--- a/doc/pub/week40/html/._week40-bs002.html
+++ b/doc/pub/week40/html/._week40-bs002.html
@@ -370,7 +370,7 @@ MathJax.Hub.Config({
  <li> Stochastic Gradient descent with examples and automatic differentiation</li>
  <li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model</li>
  <li> <a href="https://youtu.be/jdJoOrCIdII" target="_self">Video of lecture</a></li>
- <li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>  
+ <li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>  
 </ol>
 </div>
 </div>
diff --git a/doc/pub/week40/html/week40-reveal.html b/doc/pub/week40/html/week40-reveal.html
index 3a56caebf..1f6ba7f5d 100644
--- a/doc/pub/week40/html/week40-reveal.html
+++ b/doc/pub/week40/html/week40-reveal.html
@@ -207,7 +207,7 @@ MathJax.Hub.Config({
  <p><li> Stochastic Gradient descent with examples and automatic differentiation</li>
  <p><li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model</li>
  <p><li> <a href="https://youtu.be/jdJoOrCIdII" target="_blank">Video of lecture</a></li>
- <p><li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>  
+ <p><li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>  
 </ol>
 </div>
 </section>
diff --git a/doc/pub/week40/html/week40-solarized.html b/doc/pub/week40/html/week40-solarized.html
index 707e667af..b62619a15 100644
--- a/doc/pub/week40/html/week40-solarized.html
+++ b/doc/pub/week40/html/week40-solarized.html
@@ -322,7 +322,7 @@ MathJax.Hub.Config({
  <li> Stochastic Gradient descent with examples and automatic differentiation</li>
  <li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model</li>
  <li> <a href="https://youtu.be/jdJoOrCIdII" target="_blank">Video of lecture</a></li>
- <li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>  
+ <li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>  
 </ol>
 </div>
 
diff --git a/doc/pub/week40/html/week40.html b/doc/pub/week40/html/week40.html
index 9e8b673ff..6b1494bfb 100644
--- a/doc/pub/week40/html/week40.html
+++ b/doc/pub/week40/html/week40.html
@@ -399,7 +399,7 @@ MathJax.Hub.Config({
  <li> Stochastic Gradient descent with examples and automatic differentiation</li>
  <li> If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model</li>
  <li> <a href="https://youtu.be/jdJoOrCIdII" target="_blank">Video of lecture</a></li>
- <li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>  
+ <li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf</tt></a></li>  
 </ol>
 </div>
 
diff --git a/doc/pub/week40/ipynb/ipynb-week40-src.tar.gz b/doc/pub/week40/ipynb/ipynb-week40-src.tar.gz
index e0c1860c15f3691ccfd6510c0ab3707ae3f72a99..116180ff4ff6f5ec2b1a4c5aee2b97bb73e0db47 100644
GIT binary patch
delta 40
ucmbO+Sz*Rx1y=cP4u(UGtgWn!t*lI~tjw*fEUm0SE?X-r`&L$t$(#V=<_XpS

delta 40
ucmbO+Sz*Rx1y=cP4hGIf)>c-=R#v7~R_0b#mR43Em#vkReJd-+WKICi@d+IO

diff --git a/doc/pub/week40/ipynb/week40.ipynb b/doc/pub/week40/ipynb/week40.ipynb
index 76d3293a0..c316b1d31 100644
--- a/doc/pub/week40/ipynb/week40.ipynb
+++ b/doc/pub/week40/ipynb/week40.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "8e9453d1",
+   "id": "71c0e62a",
    "metadata": {
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@@ -14,7 +14,7 @@
   },
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    "cell_type": "markdown",
-   "id": "63316b19",
+   "id": "4e0afae4",
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@@ -27,7 +27,7 @@
   },
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-   "id": "e79ea664",
+   "id": "e6b378ac",
    "metadata": {
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@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ffd59324",
+   "id": "1ba91689",
    "metadata": {
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    },
@@ -49,12 +49,12 @@
     "\n",
     "3. [Video of lecture](https://youtu.be/jdJoOrCIdII)\n",
     "\n",
-    "4. \"Whiteboard notes at <https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf>"
+    "4. Whiteboard notes at <https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf>"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "2a36e9f1",
+   "id": "fb1da492",
    "metadata": {
     "editable": true
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@@ -79,7 +79,7 @@
   },
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    "cell_type": "markdown",
-   "id": "72efb7fe",
+   "id": "5e18b164",
    "metadata": {
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@@ -98,7 +98,7 @@
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    "cell_type": "markdown",
-   "id": "53f5d221",
+   "id": "ca1eb3e1",
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@@ -120,7 +120,7 @@
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-   "id": "6d7682ea",
+   "id": "d1832283",
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@@ -134,7 +134,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "a2fc2e7d",
+   "id": "0dee3b51",
    "metadata": {
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     "editable": true
@@ -188,7 +188,7 @@
   },
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-   "id": "574124ae",
+   "id": "cda18663",
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@@ -201,7 +201,7 @@
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-   "id": "7744cc51",
+   "id": "e1e51c75",
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@@ -245,7 +245,7 @@
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-   "id": "1c269cc7",
+   "id": "8de3d7c1",
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@@ -260,7 +260,7 @@
   {
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-   "id": "1f3ca684",
+   "id": "4f87ae26",
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@@ -302,7 +302,7 @@
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-   "id": "bc2e837c",
+   "id": "c2781943",
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@@ -321,7 +321,7 @@
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-   "id": "33bb2fa7",
+   "id": "1e37491a",
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@@ -342,7 +342,7 @@
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-   "id": "8b20183c",
+   "id": "6feab258",
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@@ -374,7 +374,7 @@
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@@ -391,7 +391,7 @@
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+   "id": "c9453416",
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@@ -404,7 +404,7 @@
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-   "id": "6c1eec95",
+   "id": "19b0403c",
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@@ -417,7 +417,7 @@
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-   "id": "74b3be91",
+   "id": "37025507",
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@@ -430,7 +430,7 @@
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-   "id": "1bfa2b6a",
+   "id": "cc7aaec1",
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@@ -444,7 +444,7 @@
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-   "id": "5d929a3e",
+   "id": "3a3a0d11",
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@@ -466,7 +466,7 @@
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-   "id": "8cefa944",
+   "id": "0acfc986",
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@@ -481,7 +481,7 @@
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@@ -493,7 +493,7 @@
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-   "id": "2487eaf9",
+   "id": "8c73ac82",
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@@ -506,7 +506,7 @@
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-   "id": "ead18813",
+   "id": "f88656c1",
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@@ -520,7 +520,7 @@
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-   "id": "184170ec",
+   "id": "e80a498f",
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@@ -531,7 +531,7 @@
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-   "id": "2d019235",
+   "id": "626ac884",
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@@ -556,7 +556,7 @@
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+   "id": "3c9a754d",
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@@ -572,7 +572,7 @@
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-   "id": "7368338b",
+   "id": "2790ab60",
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@@ -593,7 +593,7 @@
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@@ -613,7 +613,7 @@
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-   "id": "93d53198",
+   "id": "3c39cc08",
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@@ -632,7 +632,7 @@
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-   "id": "c9240812",
+   "id": "294edbef",
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@@ -667,7 +667,7 @@
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+   "id": "f60f930b",
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@@ -680,7 +680,7 @@
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-   "id": "69483e42",
+   "id": "41a929b5",
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@@ -759,7 +759,7 @@
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-   "id": "00a93ec9",
+   "id": "af8f3db9",
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@@ -774,7 +774,7 @@
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@@ -789,7 +789,7 @@
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@@ -801,7 +801,7 @@
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+   "id": "6b18d51a",
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@@ -819,7 +819,7 @@
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-   "id": "d5391545",
+   "id": "efa3113f",
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@@ -838,7 +838,7 @@
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+   "id": "2007f72c",
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@@ -850,7 +850,7 @@
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@@ -860,7 +860,7 @@
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+   "id": "3930d988",
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@@ -876,7 +876,7 @@
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@@ -888,7 +888,7 @@
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@@ -898,7 +898,7 @@
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-   "id": "c2203421",
+   "id": "8fe2b7ac",
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@@ -910,7 +910,7 @@
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@@ -920,7 +920,7 @@
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@@ -932,7 +932,7 @@
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+   "id": "c233679d",
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@@ -948,7 +948,7 @@
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+   "id": "cf54be10",
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@@ -960,7 +960,7 @@
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@@ -993,7 +993,7 @@
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@@ -1005,7 +1005,7 @@
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@@ -1023,7 +1023,7 @@
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@@ -1033,7 +1033,7 @@
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@@ -1064,7 +1064,7 @@
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@@ -1079,7 +1079,7 @@
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@@ -1097,7 +1097,7 @@
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@@ -1109,7 +1109,7 @@
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@@ -1121,7 +1121,7 @@
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@@ -1139,7 +1139,7 @@
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@@ -1168,7 +1168,7 @@
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@@ -1186,7 +1186,7 @@
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@@ -1198,7 +1198,7 @@
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@@ -1210,7 +1210,7 @@
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@@ -1222,7 +1222,7 @@
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@@ -1234,7 +1234,7 @@
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@@ -1246,7 +1246,7 @@
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@@ -1263,7 +1263,7 @@
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@@ -1282,7 +1282,7 @@
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@@ -1294,7 +1294,7 @@
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@@ -1308,7 +1308,7 @@
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@@ -1324,7 +1324,7 @@
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@@ -1340,7 +1340,7 @@
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@@ -1356,7 +1356,7 @@
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@@ -1376,7 +1376,7 @@
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@@ -1414,7 +1414,7 @@
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@@ -1426,7 +1426,7 @@
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@@ -1436,7 +1436,7 @@
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@@ -1448,7 +1448,7 @@
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@@ -1459,7 +1459,7 @@
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@@ -1504,7 +1504,7 @@
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@@ -1521,7 +1521,7 @@
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@@ -1549,7 +1549,7 @@
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@@ -1564,7 +1564,7 @@
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@@ -1608,7 +1608,7 @@
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@@ -1618,7 +1618,7 @@
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@@ -1629,7 +1629,7 @@
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@@ -1657,7 +1657,7 @@
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@@ -1672,7 +1672,7 @@
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@@ -1683,7 +1683,7 @@
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@@ -1711,7 +1711,7 @@
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@@ -1722,7 +1722,7 @@
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@@ -1747,7 +1747,7 @@
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@@ -1758,7 +1758,7 @@
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@@ -1794,7 +1794,7 @@
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@@ -1814,7 +1814,7 @@
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@@ -1825,7 +1825,7 @@
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@@ -1863,7 +1863,7 @@
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@@ -1873,7 +1873,7 @@
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@@ -1888,7 +1888,7 @@
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@@ -1948,7 +1948,7 @@
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@@ -1959,7 +1959,7 @@
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@@ -2023,7 +2023,7 @@
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@@ -2035,7 +2035,7 @@
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@@ -2119,7 +2119,7 @@
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@@ -2130,7 +2130,7 @@
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@@ -2208,7 +2208,7 @@
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@@ -2219,7 +2219,7 @@
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@@ -2278,7 +2278,7 @@
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@@ -2288,7 +2288,7 @@
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@@ -2299,7 +2299,7 @@
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@@ -2364,7 +2364,7 @@
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@@ -2375,7 +2375,7 @@
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@@ -2445,7 +2445,7 @@
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@@ -2456,7 +2456,7 @@
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@@ -2500,7 +2500,7 @@
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@@ -2516,7 +2516,7 @@
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@@ -2527,7 +2527,7 @@
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@@ -2544,7 +2544,7 @@
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@@ -2555,7 +2555,7 @@
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@@ -2600,7 +2600,7 @@
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@@ -2611,7 +2611,7 @@
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@@ -2642,7 +2642,7 @@
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@@ -2660,7 +2660,7 @@
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@@ -2684,7 +2684,7 @@
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@@ -2702,7 +2702,7 @@
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@@ -2742,7 +2742,7 @@
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@@ -2771,7 +2771,7 @@
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@@ -2792,7 +2792,7 @@
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@@ -2821,7 +2821,7 @@
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@@ -2842,7 +2842,7 @@
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@@ -2863,7 +2863,7 @@
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@@ -2880,7 +2880,7 @@
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@@ -2901,7 +2901,7 @@
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@@ -2917,7 +2917,7 @@
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@@ -2934,7 +2934,7 @@
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@@ -2975,7 +2975,7 @@
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@@ -2985,7 +2985,7 @@
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@@ -2996,7 +2996,7 @@
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@@ -3056,7 +3056,7 @@
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@@ -3066,7 +3066,7 @@
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@@ -3077,7 +3077,7 @@
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@@ -3097,7 +3097,7 @@
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@@ -3109,7 +3109,7 @@
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@@ -3121,7 +3121,7 @@
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@@ -3136,7 +3136,7 @@
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@@ -3148,7 +3148,7 @@
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@@ -3165,7 +3165,7 @@
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@@ -3180,7 +3180,7 @@
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@@ -3198,7 +3198,7 @@
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@@ -3210,7 +3210,7 @@
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@@ -3228,7 +3228,7 @@
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@@ -3241,7 +3241,7 @@
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@@ -3253,7 +3253,7 @@
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@@ -3271,7 +3271,7 @@
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@@ -3289,7 +3289,7 @@
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@@ -3299,7 +3299,7 @@
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@@ -3317,7 +3317,7 @@
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@@ -3336,7 +3336,7 @@
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@@ -3349,7 +3349,7 @@
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@@ -3367,7 +3367,7 @@
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@@ -3378,7 +3378,7 @@
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@@ -3397,7 +3397,7 @@
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@@ -3415,7 +3415,7 @@
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@@ -3428,7 +3428,7 @@
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@@ -3448,7 +3448,7 @@
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@@ -3481,7 +3481,7 @@
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@@ -3493,7 +3493,7 @@
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@@ -3512,7 +3512,7 @@
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@@ -3526,7 +3526,7 @@
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@@ -3549,7 +3549,7 @@
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   {
    "cell_type": "markdown",
-   "id": "8366c15c",
+   "id": "7de531f8",
    "metadata": {
     "editable": true
    },
@@ -3568,7 +3568,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dfc11028",
+   "id": "dedb08ff",
    "metadata": {
     "editable": true
    },
@@ -3580,7 +3580,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6294f339",
+   "id": "ed7c69c9",
    "metadata": {
     "editable": true
    },
@@ -3590,7 +3590,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "59dc18e3",
+   "id": "37be8225",
    "metadata": {
     "editable": true
    },
@@ -3602,7 +3602,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3d3a0336",
+   "id": "a8176533",
    "metadata": {
     "editable": true
    },
@@ -3619,7 +3619,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "id": "21707211",
+   "id": "1b3252bc",
    "metadata": {
     "collapsed": false,
     "editable": true
diff --git a/doc/src/week40/week40.do.txt b/doc/src/week40/week40.do.txt
index f050720c7..7350cc7d2 100644
--- a/doc/src/week40/week40.do.txt
+++ b/doc/src/week40/week40.do.txt
@@ -14,7 +14,7 @@ DATE: September 30-October 4, 2024
   o Stochastic Gradient descent with examples and automatic differentiation
   o If we get time, we start with the basics of Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
   o "Video of lecture":"https://youtu.be/jdJoOrCIdII"
-  o "Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf"  
+  o Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember30.pdf"  
 !eblock
 
 !split