diff --git a/doc/pub/week40/html/._week40-bs000.html b/doc/pub/week40/html/._week40-bs000.html
index 5fad2ea31..a039a7b8e 100644
--- a/doc/pub/week40/html/._week40-bs000.html
+++ b/doc/pub/week40/html/._week40-bs000.html
@@ -254,7 +254,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
-
Sep 29, 2020
+Sep 30, 2020
diff --git a/doc/pub/week40/html/._week40-bs001.html b/doc/pub/week40/html/._week40-bs001.html
index e8fe5139d..82a638996 100644
--- a/doc/pub/week40/html/._week40-bs001.html
+++ b/doc/pub/week40/html/._week40-bs001.html
@@ -238,8 +238,8 @@ MathJax.Hub.Config({
Plan for week 40
-- Thursday: Stochastic Gradient descent with examples and automatic differeantion and begin Neural Networks
-- Friday: Neural Networks, setting up the basic steps
+- Thursday: Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks
+- Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
Reading suggestions for both days: Aurelien Geron's chapter 10 and Hastie et al chapter 11.
diff --git a/doc/pub/week40/html/week40-bs.html b/doc/pub/week40/html/week40-bs.html
index 5fad2ea31..a039a7b8e 100644
--- a/doc/pub/week40/html/week40-bs.html
+++ b/doc/pub/week40/html/week40-bs.html
@@ -254,7 +254,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
-
Sep 29, 2020
+Sep 30, 2020
diff --git a/doc/pub/week40/html/week40-reveal.html b/doc/pub/week40/html/week40-reveal.html
index c2aa0acfe..6ef3fc8e5 100644
--- a/doc/pub/week40/html/week40-reveal.html
+++ b/doc/pub/week40/html/week40-reveal.html
@@ -148,7 +148,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
-
Sep 29, 2020
+Sep 30, 2020
@@ -162,8 +162,8 @@ MathJax.Hub.Config({
Plan for week 40
-- Thursday: Stochastic Gradient descent with examples and automatic differeantion and begin Neural Networks
-- Friday: Neural Networks, setting up the basic steps
+- Thursday: Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks
+- Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
diff --git a/doc/pub/week40/html/week40-solarized.html b/doc/pub/week40/html/week40-solarized.html
index 994702172..a2f6bcbfc 100644
--- a/doc/pub/week40/html/week40-solarized.html
+++ b/doc/pub/week40/html/week40-solarized.html
@@ -186,7 +186,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
-
Sep 29, 2020
+Sep 30, 2020
@@ -194,8 +194,8 @@ MathJax.Hub.Config({
Plan for week 40
-- Thursday: Stochastic Gradient descent with examples and automatic differeantion and begin Neural Networks
-- Friday: Neural Networks, setting up the basic steps
+- Thursday: Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks
+- Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
Reading suggestions for both days: Aurelien Geron's chapter 10 and Hastie et al chapter 11.
diff --git a/doc/pub/week40/html/week40.html b/doc/pub/week40/html/week40.html
index 7c6bbe642..719a696a9 100644
--- a/doc/pub/week40/html/week40.html
+++ b/doc/pub/week40/html/week40.html
@@ -191,7 +191,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
-
Sep 29, 2020
+Sep 30, 2020
@@ -199,8 +199,8 @@ MathJax.Hub.Config({
Plan for week 40
-- Thursday: Stochastic Gradient descent with examples and automatic differeantion and begin Neural Networks
-- Friday: Neural Networks, setting up the basic steps
+- Thursday: Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks
+- Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
Reading suggestions for both days: Aurelien Geron's chapter 10 and Hastie et al chapter 11.
diff --git a/doc/pub/week40/ipynb/ipynb-week40-src.tar.gz b/doc/pub/week40/ipynb/ipynb-week40-src.tar.gz
index a13150834..7b19b1487 100644
Binary files a/doc/pub/week40/ipynb/ipynb-week40-src.tar.gz and b/doc/pub/week40/ipynb/ipynb-week40-src.tar.gz differ
diff --git a/doc/pub/week40/ipynb/week40.ipynb b/doc/pub/week40/ipynb/week40.ipynb
index d260157d5..0ede56a71 100644
--- a/doc/pub/week40/ipynb/week40.ipynb
+++ b/doc/pub/week40/ipynb/week40.ipynb
@@ -10,7 +10,7 @@
" \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",
"\n",
- "Date: **Sep 29, 2020**\n",
+ "Date: **Sep 30, 2020**\n",
"\n",
"Copyright 1999-2020, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n",
"\n",
@@ -19,9 +19,9 @@
"\n",
"## Plan for week 40\n",
"\n",
- "* Thursday: Stochastic Gradient descent with examples and automatic differeantion and begin Neural Networks \n",
+ "* Thursday: Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks \n",
"\n",
- "* Friday: Neural Networks, setting up the basic steps\n",
+ "* Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model\n",
"\n",
"Reading suggestions for both days: [Aurelien Geron's chapter 10](https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf) and Hastie et al chapter 11.\n",
"For Stochastic Gradient Descent, we recommend chapter 4 of Geron's text. \n",
diff --git a/doc/src/week40/week40.do.txt b/doc/src/week40/week40.do.txt
index a6b39dce1..3e2d8e91d 100644
--- a/doc/src/week40/week40.do.txt
+++ b/doc/src/week40/week40.do.txt
@@ -6,8 +6,8 @@ DATE: today
!split
===== Plan for week 40 =====
-* Thursday: Stochastic Gradient descent with examples and automatic differeantion and begin Neural Networks
-* Friday: Neural Networks, setting up the basic steps
+* Thursday: Stochastic Gradient descent with examples and automatic differentiation and begin Neural Networks
+* Friday: Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model
Reading suggestions for both days: "Aurelien Geron's chapter 10":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf" and Hastie et al chapter 11.
For Stochastic Gradient Descent, we recommend chapter 4 of Geron's text.