diff --git a/doc/pub/week43/html/week43-bs.html b/doc/pub/week43/html/week43-bs.html
index a991e9bc4..4b7cb355e 100644
--- a/doc/pub/week43/html/week43-bs.html
+++ b/doc/pub/week43/html/week43-bs.html
@@ -396,13 +396,14 @@ MathJax.Hub.Config({
@@ -412,11 +413,10 @@ MathJax.Hub.Config({
-
- - Exercise on writing your own neural network code
- - The exercises this week will be continued next week as well
- - Discussion of project 2
-
+
+- Work on writing your own neural network code and discussions of project 2. If you didn't get time to do the exercises from the two last weeks, we recommend doing so as these exercises give you the basic elements of a neural network code.
+- The exercises this week are tailored to the optional part of project 2, and deal with studying ways to display results from classification problems
+
@@ -425,7 +425,7 @@ MathJax.Hub.Config({
Using Automatic differentiation
In our discussions of ordinary differential equations and neural network codes
-we will also study the usage of Autograd, see for example https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at https://github.com/HIPS/autograd and the lecture slides from week 40, see https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html.
+we will also study the usage of Autograd, see for example https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at https://github.com/HIPS/autograd and the lecture slides from week 41, see https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html.
diff --git a/doc/pub/week43/html/week43-reveal.html b/doc/pub/week43/html/week43-reveal.html
index 6d8a445b5..3db80b689 100644
--- a/doc/pub/week43/html/week43-reveal.html
+++ b/doc/pub/week43/html/week43-reveal.html
@@ -197,15 +197,14 @@ MathJax.Hub.Config({
Material for the lecture on Monday October 20, 2025
-
+
+
@@ -214,14 +213,10 @@ MathJax.Hub.Config({
Lab sessions on Tuesday and Wednesday
-
-
-- Exercise on writing your own neural network code
-
-- The exercises this week will be continued next week as well
-
-- Discussion of project 2
-
+
+- Work on writing your own neural network code and discussions of project 2. If you didn't get time to do the exercises from the two last weeks, we recommend doing so as these exercises give you the basic elements of a neural network code.
+- The exercises this week are tailored to the optional part of project 2, and deal with studying ways to display results from classification problems
+
@@ -229,7 +224,7 @@ MathJax.Hub.Config({
Using Automatic differentiation
In our discussions of ordinary differential equations and neural network codes
-we will also study the usage of Autograd, see for example https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at https://github.com/HIPS/autograd and the lecture slides from week 40, see https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html.
+we will also study the usage of Autograd, see for example https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at https://github.com/HIPS/autograd and the lecture slides from week 41, see https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html.
diff --git a/doc/pub/week43/html/week43-solarized.html b/doc/pub/week43/html/week43-solarized.html
index aad94e9d9..27c79506b 100644
--- a/doc/pub/week43/html/week43-solarized.html
+++ b/doc/pub/week43/html/week43-solarized.html
@@ -317,13 +317,14 @@ MathJax.Hub.Config({
Material for the lecture on Monday October 20, 2025
-
+
+
@@ -332,11 +333,10 @@ MathJax.Hub.Config({
Lab sessions on Tuesday and Wednesday
-
- - Exercise on writing your own neural network code
- - The exercises this week will be continued next week as well
- - Discussion of project 2
-
+
+- Work on writing your own neural network code and discussions of project 2. If you didn't get time to do the exercises from the two last weeks, we recommend doing so as these exercises give you the basic elements of a neural network code.
+- The exercises this week are tailored to the optional part of project 2, and deal with studying ways to display results from classification problems
+
@@ -344,7 +344,7 @@ MathJax.Hub.Config({
Using Automatic differentiation
In our discussions of ordinary differential equations and neural network codes
-we will also study the usage of Autograd, see for example https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at https://github.com/HIPS/autograd and the lecture slides from week 40, see https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html.
+we will also study the usage of Autograd, see for example https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at https://github.com/HIPS/autograd and the lecture slides from week 41, see https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html.
diff --git a/doc/pub/week43/html/week43.html b/doc/pub/week43/html/week43.html
index a5349e8d7..6c0b7933d 100644
--- a/doc/pub/week43/html/week43.html
+++ b/doc/pub/week43/html/week43.html
@@ -394,13 +394,14 @@ MathJax.Hub.Config({
Material for the lecture on Monday October 20, 2025
-
+
+
@@ -409,11 +410,10 @@ MathJax.Hub.Config({
Lab sessions on Tuesday and Wednesday
-
- - Exercise on writing your own neural network code
- - The exercises this week will be continued next week as well
- - Discussion of project 2
-
+
+- Work on writing your own neural network code and discussions of project 2. If you didn't get time to do the exercises from the two last weeks, we recommend doing so as these exercises give you the basic elements of a neural network code.
+- The exercises this week are tailored to the optional part of project 2, and deal with studying ways to display results from classification problems
+
@@ -421,7 +421,7 @@ MathJax.Hub.Config({
Using Automatic differentiation
In our discussions of ordinary differential equations and neural network codes
-we will also study the usage of Autograd, see for example https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at https://github.com/HIPS/autograd and the lecture slides from week 40, see https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html.
+we will also study the usage of Autograd, see for example https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at https://github.com/HIPS/autograd and the lecture slides from week 41, see https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html.
diff --git a/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz b/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz
index 686438690..0ff6ebee5 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 bcf841703..3e86d5cdb 100644
--- a/doc/pub/week43/ipynb/week43.ipynb
+++ b/doc/pub/week43/ipynb/week43.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
- "id": "b4262ce2",
+ "id": "8c52cd3b",
"metadata": {
"editable": true
},
@@ -14,7 +14,7 @@
},
{
"cell_type": "markdown",
- "id": "9203032a",
+ "id": "846eee41",
"metadata": {
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},
@@ -27,7 +27,7 @@
},
{
"cell_type": "markdown",
- "id": "56b9fe61",
+ "id": "ff057bd5",
"metadata": {
"editable": true
},
@@ -36,17 +36,20 @@
"\n",
"**Material for the lecture on Monday October 20, 2025.**\n",
"\n",
- " * Building our own Feed-forward Neural Network with intro to Tensorflow\n",
+ "1. Reminder from last week, see lalso ecture notes from week 42 at as well as those from week 41, see see . \n",
"\n",
- " * Solving differential equations with Neural Networks\n",
+ "2. Building our own Feed-forward Neural Network.\n",
+ "\n",
+ "3. Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13.. \n",
+ "\n",
+ "4. Start discussions on how to use neural networks for solving differential equations (ordinary and partial ones). This topic continues next week as well.\n",
"\n",
- "\n",
- ""
+ ""
]
},
{
"cell_type": "markdown",
- "id": "0b8b78a7",
+ "id": "8d1fd0b3",
"metadata": {
"editable": true
},
@@ -54,16 +57,14 @@
"## Exercises and lab session week 43\n",
"**Lab sessions on Tuesday and Wednesday.**\n",
"\n",
- " * Exercise on writing your own neural network code\n",
+ "1. Work on writing your own neural network code and discussions of project 2. If you didn't get time to do the exercises from the two last weeks, we recommend doing so as these exercises give you the basic elements of a neural network code.\n",
"\n",
- " * The exercises this week will be continued next week as well\n",
- "\n",
- " * Discussion of project 2"
+ "2. The exercises this week are tailored to the optional part of project 2, and deal with studying ways to display results from classification problems"
]
},
{
"cell_type": "markdown",
- "id": "211ed9dd",
+ "id": "4990faa2",
"metadata": {
"editable": true
},
@@ -71,12 +72,12 @@
"## Using Automatic differentiation\n",
"\n",
"In our discussions of ordinary differential equations and neural network codes\n",
- "we will also study the usage of Autograd, see for example in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at and the lecture slides from week 40, see ."
+ "we will also study the usage of Autograd, see for example in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at and the lecture slides from week 41, see ."
]
},
{
"cell_type": "markdown",
- "id": "22d4d145",
+ "id": "76cb0250",
"metadata": {
"editable": true
},
@@ -93,7 +94,7 @@
},
{
"cell_type": "markdown",
- "id": "96f43859",
+ "id": "5bdfe8a0",
"metadata": {
"editable": true
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@@ -103,7 +104,7 @@
},
{
"cell_type": "markdown",
- "id": "a38b1a5e",
+ "id": "b78c27be",
"metadata": {
"editable": true
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@@ -130,7 +131,7 @@
},
{
"cell_type": "markdown",
- "id": "8e9e7f7a",
+ "id": "db515eac",
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"editable": true
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@@ -153,7 +154,7 @@
},
{
"cell_type": "markdown",
- "id": "64ec6fe3",
+ "id": "0d9e2c6d",
"metadata": {
"editable": true
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@@ -165,7 +166,7 @@
},
{
"cell_type": "markdown",
- "id": "ce7deff8",
+ "id": "c54ddbb9",
"metadata": {
"editable": true
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@@ -177,7 +178,7 @@
},
{
"cell_type": "markdown",
- "id": "0794bf9c",
+ "id": "0a074eb8",
"metadata": {
"editable": true
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@@ -187,7 +188,7 @@
},
{
"cell_type": "markdown",
- "id": "966295a4",
+ "id": "2916e7ad",
"metadata": {
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@@ -199,7 +200,7 @@
},
{
"cell_type": "markdown",
- "id": "1a24ff59",
+ "id": "fc87090a",
"metadata": {
"editable": true
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@@ -213,7 +214,7 @@
},
{
"cell_type": "markdown",
- "id": "0e7ea1ba",
+ "id": "0fab3976",
"metadata": {
"editable": true
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@@ -225,7 +226,7 @@
},
{
"cell_type": "markdown",
- "id": "bdefff6b",
+ "id": "506b036e",
"metadata": {
"editable": true
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@@ -237,7 +238,7 @@
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{
"cell_type": "markdown",
- "id": "de1257ed",
+ "id": "7230ebb2",
"metadata": {
"editable": true
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@@ -247,7 +248,7 @@
},
{
"cell_type": "markdown",
- "id": "3c04f532",
+ "id": "24dcabf8",
"metadata": {
"editable": true
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@@ -259,7 +260,7 @@
},
{
"cell_type": "markdown",
- "id": "59d21e46",
+ "id": "769b4b46",
"metadata": {
"editable": true
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@@ -271,7 +272,7 @@
},
{
"cell_type": "markdown",
- "id": "22face27",
+ "id": "0eb6e407",
"metadata": {
"editable": true
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@@ -281,7 +282,7 @@
},
{
"cell_type": "markdown",
- "id": "1e72f57e",
+ "id": "dd2caf09",
"metadata": {
"editable": true
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@@ -293,7 +294,7 @@
},
{
"cell_type": "markdown",
- "id": "a9ebc5c4",
+ "id": "3ca5122d",
"metadata": {
"editable": true
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@@ -305,7 +306,7 @@
},
{
"cell_type": "markdown",
- "id": "2ab07a4a",
+ "id": "0297fbd7",
"metadata": {
"editable": true
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@@ -328,7 +329,7 @@
},
{
"cell_type": "markdown",
- "id": "15174e2a",
+ "id": "093209ef",
"metadata": {
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@@ -340,7 +341,7 @@
},
{
"cell_type": "markdown",
- "id": "3e037a7e",
+ "id": "52cacfbe",
"metadata": {
"editable": true
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@@ -352,7 +353,7 @@
},
{
"cell_type": "markdown",
- "id": "854aa7cd",
+ "id": "3ac82bdf",
"metadata": {
"editable": true
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@@ -362,7 +363,7 @@
},
{
"cell_type": "markdown",
- "id": "3b300627",
+ "id": "e3f9be3c",
"metadata": {
"editable": true
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@@ -374,7 +375,7 @@
},
{
"cell_type": "markdown",
- "id": "60c47f86",
+ "id": "fdb953a2",
"metadata": {
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@@ -395,7 +396,7 @@
},
{
"cell_type": "markdown",
- "id": "de3db402",
+ "id": "0d8677dd",
"metadata": {
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@@ -409,7 +410,7 @@
},
{
"cell_type": "markdown",
- "id": "c9b3f789",
+ "id": "6d2d4dcc",
"metadata": {
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@@ -421,7 +422,7 @@
},
{
"cell_type": "markdown",
- "id": "9e6ba2c1",
+ "id": "e17fbd6e",
"metadata": {
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@@ -443,7 +444,7 @@
},
{
"cell_type": "markdown",
- "id": "a0ca6ce2",
+ "id": "4464d159",
"metadata": {
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@@ -465,7 +466,7 @@
},
{
"cell_type": "markdown",
- "id": "a29b38bc",
+ "id": "d7dacac8",
"metadata": {
"editable": true
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@@ -483,7 +484,7 @@
},
{
"cell_type": "markdown",
- "id": "f64479f0",
+ "id": "cb79f5a6",
"metadata": {
"editable": true
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@@ -518,7 +519,7 @@
{
"cell_type": "code",
"execution_count": 1,
- "id": "b27970e4",
+ "id": "44cf829e",
"metadata": {
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"editable": true
@@ -530,7 +531,7 @@
},
{
"cell_type": "markdown",
- "id": "9427cab2",
+ "id": "bdf6f4be",
"metadata": {
"editable": true
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@@ -542,7 +543,7 @@
{
"cell_type": "code",
"execution_count": 2,
- "id": "265a9d8e",
+ "id": "784ed3b7",
"metadata": {
"collapsed": false,
"editable": true
@@ -555,7 +556,7 @@
},
{
"cell_type": "markdown",
- "id": "d0362f60",
+ "id": "30a63e04",
"metadata": {
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@@ -566,7 +567,7 @@
{
"cell_type": "code",
"execution_count": 3,
- "id": "31150e3d",
+ "id": "5ecbf45a",
"metadata": {
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@@ -579,7 +580,7 @@
},
{
"cell_type": "markdown",
- "id": "d3ea5b10",
+ "id": "4a0568e9",
"metadata": {
"editable": true
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@@ -594,7 +595,7 @@
{
"cell_type": "code",
"execution_count": 4,
- "id": "c9005b14",
+ "id": "9982df74",
"metadata": {
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"editable": true
@@ -606,7 +607,7 @@
},
{
"cell_type": "markdown",
- "id": "6fd9e28c",
+ "id": "b81f34fd",
"metadata": {
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@@ -618,7 +619,7 @@
},
{
"cell_type": "markdown",
- "id": "b2e58b9d",
+ "id": "cf68391d",
"metadata": {
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@@ -631,7 +632,7 @@
{
"cell_type": "code",
"execution_count": 5,
- "id": "6bcb2d1b",
+ "id": "2594d47b",
"metadata": {
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@@ -688,7 +689,7 @@
{
"cell_type": "code",
"execution_count": 6,
- "id": "33f9b277",
+ "id": "060f0b22",
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"editable": true
@@ -717,7 +718,7 @@
{
"cell_type": "code",
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- "id": "ef4311ca",
+ "id": "5491ac4f",
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@@ -747,7 +748,7 @@
{
"cell_type": "code",
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- "id": "263854b8",
+ "id": "905a1d27",
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@@ -774,7 +775,7 @@
{
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"execution_count": 9,
- "id": "b7d2c6cf",
+ "id": "491849b6",
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@@ -816,7 +817,7 @@
},
{
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- "id": "e3189e7e",
+ "id": "25bfc059",
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@@ -827,7 +828,7 @@
{
"cell_type": "code",
"execution_count": 10,
- "id": "80b9b56f",
+ "id": "29c660b4",
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@@ -914,7 +915,7 @@
},
{
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- "id": "38da87d8",
+ "id": "50468253",
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@@ -925,7 +926,7 @@
{
"cell_type": "code",
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- "id": "ebe99aeb",
+ "id": "1e430607",
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@@ -985,7 +986,7 @@
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{
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- "id": "d675799d",
+ "id": "44c02ba1",
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@@ -1004,7 +1005,7 @@
},
{
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- "id": "5f0f9d3f",
+ "id": "87c53214",
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@@ -1026,7 +1027,7 @@
{
"cell_type": "code",
"execution_count": 12,
- "id": "d715d80c",
+ "id": "b36b4c64",
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@@ -1167,7 +1168,7 @@
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{
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- "id": "c86a2a10",
+ "id": "166220ac",
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@@ -1183,7 +1184,7 @@
{
"cell_type": "code",
"execution_count": 13,
- "id": "c04fe314",
+ "id": "6e3221f8",
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@@ -1196,7 +1197,7 @@
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{
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- "id": "61a58ad8",
+ "id": "44e094bb",
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@@ -1208,7 +1209,7 @@
{
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- "id": "c0662f37",
+ "id": "e8e938bd",
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@@ -1230,7 +1231,7 @@
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{
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- "id": "c61d427f",
+ "id": "7546f778",
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@@ -1246,7 +1247,7 @@
{
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- "id": "b9393ed7",
+ "id": "55250ea2",
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@@ -1284,7 +1285,7 @@
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+ "id": "6651b1cc",
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@@ -1297,7 +1298,7 @@
{
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- "id": "df1450c3",
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@@ -1318,7 +1319,7 @@
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{
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+ "id": "1763139f",
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@@ -1334,7 +1335,7 @@
{
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- "id": "030eac01",
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@@ -1392,7 +1393,7 @@
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{
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@@ -1407,7 +1408,7 @@
{
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- "id": "dd8b1ca8",
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@@ -1428,7 +1429,7 @@
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{
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- "id": "5f3fee56",
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@@ -1452,7 +1453,7 @@
{
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- "id": "a687948a",
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@@ -1924,7 +1925,7 @@
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@@ -1936,7 +1937,7 @@
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@@ -1980,7 +1981,7 @@
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@@ -2011,7 +2012,7 @@
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{
"cell_type": "markdown",
- "id": "e1e7e2f5",
+ "id": "a7c84b58",
"metadata": {
"editable": true
},
@@ -4155,7 +4156,7 @@
},
{
"cell_type": "markdown",
- "id": "d1f651e2",
+ "id": "9db2324e",
"metadata": {
"editable": true
},
@@ -4167,7 +4168,7 @@
},
{
"cell_type": "markdown",
- "id": "be94670f",
+ "id": "f94f8d1a",
"metadata": {
"editable": true
},
@@ -4179,7 +4180,7 @@
},
{
"cell_type": "markdown",
- "id": "eca6785f",
+ "id": "e8eaba06",
"metadata": {
"editable": true
},
@@ -4189,7 +4190,7 @@
},
{
"cell_type": "markdown",
- "id": "f68aa900",
+ "id": "3c345647",
"metadata": {
"editable": true
},
@@ -4201,7 +4202,7 @@
},
{
"cell_type": "markdown",
- "id": "e85f2435",
+ "id": "0d913be0",
"metadata": {
"editable": true
},
@@ -4212,7 +4213,7 @@
{
"cell_type": "code",
"execution_count": 35,
- "id": "c0022a0a",
+ "id": "96194d94",
"metadata": {
"collapsed": false,
"editable": true
@@ -4377,7 +4378,7 @@
},
{
"cell_type": "markdown",
- "id": "1ae49b85",
+ "id": "780c5c66",
"metadata": {
"editable": true
},
@@ -4399,7 +4400,7 @@
},
{
"cell_type": "markdown",
- "id": "f22aa870",
+ "id": "b6dfbfdc",
"metadata": {
"editable": true
},
@@ -4416,7 +4417,7 @@
},
{
"cell_type": "markdown",
- "id": "12402f92",
+ "id": "011ba117",
"metadata": {
"editable": true
},
@@ -4426,7 +4427,7 @@
},
{
"cell_type": "markdown",
- "id": "00b9799d",
+ "id": "cdf079bc",
"metadata": {
"editable": true
},
@@ -4441,7 +4442,7 @@
},
{
"cell_type": "markdown",
- "id": "63b91aa9",
+ "id": "bf2fc40c",
"metadata": {
"editable": true
},
@@ -4451,7 +4452,7 @@
},
{
"cell_type": "markdown",
- "id": "3e50772a",
+ "id": "6662f05c",
"metadata": {
"editable": true
},
@@ -4466,7 +4467,7 @@
},
{
"cell_type": "markdown",
- "id": "f9d74ee1",
+ "id": "fe9a0465",
"metadata": {
"editable": true
},
@@ -4477,7 +4478,7 @@
},
{
"cell_type": "markdown",
- "id": "9d885961",
+ "id": "7603ea9a",
"metadata": {
"editable": true
},
@@ -4497,7 +4498,7 @@
},
{
"cell_type": "markdown",
- "id": "4bdb2a02",
+ "id": "6744dfef",
"metadata": {
"editable": true
},
@@ -4509,7 +4510,7 @@
},
{
"cell_type": "markdown",
- "id": "c20b7d32",
+ "id": "af13fca6",
"metadata": {
"editable": true
},
@@ -4546,7 +4547,7 @@
},
{
"cell_type": "markdown",
- "id": "798502d3",
+ "id": "bd1bd149",
"metadata": {
"editable": true
},
@@ -4556,7 +4557,7 @@
},
{
"cell_type": "markdown",
- "id": "ed43a985",
+ "id": "43e51ef4",
"metadata": {
"editable": true
},
@@ -4569,7 +4570,7 @@
{
"cell_type": "code",
"execution_count": 36,
- "id": "41414177",
+ "id": "49c94dd9",
"metadata": {
"collapsed": false,
"editable": true
@@ -4774,7 +4775,7 @@
},
{
"cell_type": "markdown",
- "id": "b32f9258",
+ "id": "6d27256f",
"metadata": {
"editable": true
},
@@ -4791,7 +4792,7 @@
},
{
"cell_type": "markdown",
- "id": "f211463a",
+ "id": "df08a8ac",
"metadata": {
"editable": true
},
@@ -4808,7 +4809,7 @@
},
{
"cell_type": "markdown",
- "id": "2b4bd193",
+ "id": "ec4b9fd4",
"metadata": {
"editable": true
},
@@ -4818,7 +4819,7 @@
},
{
"cell_type": "markdown",
- "id": "0ece9e81",
+ "id": "92f17705",
"metadata": {
"editable": true
},
@@ -4833,7 +4834,7 @@
},
{
"cell_type": "markdown",
- "id": "e30e6123",
+ "id": "eec1785d",
"metadata": {
"editable": true
},
@@ -4847,7 +4848,7 @@
},
{
"cell_type": "markdown",
- "id": "01fabacb",
+ "id": "544c3fce",
"metadata": {
"editable": true
},
@@ -4860,7 +4861,7 @@
},
{
"cell_type": "markdown",
- "id": "c13d41fb",
+ "id": "74af5618",
"metadata": {
"editable": true
},
@@ -4880,7 +4881,7 @@
},
{
"cell_type": "markdown",
- "id": "eb96a414",
+ "id": "9a7c5864",
"metadata": {
"editable": true
},
@@ -4892,7 +4893,7 @@
},
{
"cell_type": "markdown",
- "id": "f3bad2e3",
+ "id": "3f2d680d",
"metadata": {
"editable": true
},
@@ -4904,7 +4905,7 @@
},
{
"cell_type": "markdown",
- "id": "baf4acd6",
+ "id": "118044b0",
"metadata": {
"editable": true
},
@@ -4916,7 +4917,7 @@
},
{
"cell_type": "markdown",
- "id": "32139235",
+ "id": "e9b82be4",
"metadata": {
"editable": true
},
@@ -4926,7 +4927,7 @@
},
{
"cell_type": "markdown",
- "id": "dc2aa978",
+ "id": "d5e6b103",
"metadata": {
"editable": true
},
@@ -4938,7 +4939,7 @@
},
{
"cell_type": "markdown",
- "id": "1282e316",
+ "id": "c9dec199",
"metadata": {
"editable": true
},
@@ -4950,7 +4951,7 @@
},
{
"cell_type": "markdown",
- "id": "98dde5b2",
+ "id": "118d2522",
"metadata": {
"editable": true
},
@@ -4962,7 +4963,7 @@
},
{
"cell_type": "markdown",
- "id": "d3e8bbe0",
+ "id": "1d13aaff",
"metadata": {
"editable": true
},
@@ -4972,7 +4973,7 @@
},
{
"cell_type": "markdown",
- "id": "8137a1b2",
+ "id": "4de9c463",
"metadata": {
"editable": true
},
@@ -4988,7 +4989,7 @@
},
{
"cell_type": "markdown",
- "id": "cbce36ed",
+ "id": "65b2ba09",
"metadata": {
"editable": true
},
@@ -4998,7 +4999,7 @@
},
{
"cell_type": "markdown",
- "id": "0a91d2c7",
+ "id": "843d90aa",
"metadata": {
"editable": true
},
@@ -5010,7 +5011,7 @@
},
{
"cell_type": "markdown",
- "id": "df8b3382",
+ "id": "77447bcd",
"metadata": {
"editable": true
},
@@ -5027,7 +5028,7 @@
},
{
"cell_type": "markdown",
- "id": "1851cd76",
+ "id": "c3cf90aa",
"metadata": {
"editable": true
},
@@ -5037,7 +5038,7 @@
},
{
"cell_type": "markdown",
- "id": "a4246df0",
+ "id": "257d1f48",
"metadata": {
"editable": true
},
@@ -5053,7 +5054,7 @@
},
{
"cell_type": "markdown",
- "id": "cbecbbb8",
+ "id": "7f4f7d6a",
"metadata": {
"editable": true
},
@@ -5067,7 +5068,7 @@
},
{
"cell_type": "markdown",
- "id": "09484628",
+ "id": "1e0c143a",
"metadata": {
"editable": true
},
@@ -5086,7 +5087,7 @@
{
"cell_type": "code",
"execution_count": 37,
- "id": "dd51a62f",
+ "id": "e52c49e9",
"metadata": {
"collapsed": false,
"editable": true
@@ -5141,7 +5142,7 @@
},
{
"cell_type": "markdown",
- "id": "822af629",
+ "id": "e6975906",
"metadata": {
"editable": true
},
@@ -5171,7 +5172,7 @@
},
{
"cell_type": "markdown",
- "id": "2c358905",
+ "id": "d665f51c",
"metadata": {
"editable": true
},
@@ -5200,7 +5201,7 @@
{
"cell_type": "code",
"execution_count": 38,
- "id": "45c5e295",
+ "id": "152c290e",
"metadata": {
"collapsed": false,
"editable": true
@@ -5247,7 +5248,7 @@
},
{
"cell_type": "markdown",
- "id": "4dd3869b",
+ "id": "eac82d2c",
"metadata": {
"editable": true
},
@@ -5273,7 +5274,7 @@
{
"cell_type": "code",
"execution_count": 39,
- "id": "7e2b77d3",
+ "id": "df3d9605",
"metadata": {
"collapsed": false,
"editable": true
@@ -5507,7 +5508,7 @@
},
{
"cell_type": "markdown",
- "id": "7bd8fcce",
+ "id": "fec03008",
"metadata": {
"editable": true
},
@@ -5519,7 +5520,7 @@
},
{
"cell_type": "markdown",
- "id": "fc2ee080",
+ "id": "403f7560",
"metadata": {
"editable": true
},
@@ -5531,7 +5532,7 @@
},
{
"cell_type": "markdown",
- "id": "85ad3201",
+ "id": "dc05badf",
"metadata": {
"editable": true
},
@@ -5543,7 +5544,7 @@
},
{
"cell_type": "markdown",
- "id": "c1262c90",
+ "id": "1daf1dd8",
"metadata": {
"editable": true
},
@@ -5560,7 +5561,7 @@
},
{
"cell_type": "markdown",
- "id": "4bdfae8e",
+ "id": "4da632df",
"metadata": {
"editable": true
},
@@ -5570,7 +5571,7 @@
},
{
"cell_type": "markdown",
- "id": "35f806f3",
+ "id": "851bb943",
"metadata": {
"editable": true
},
@@ -5582,7 +5583,7 @@
},
{
"cell_type": "markdown",
- "id": "5c0fa662",
+ "id": "760b72fe",
"metadata": {
"editable": true
},
@@ -5599,7 +5600,7 @@
},
{
"cell_type": "markdown",
- "id": "1ea04257",
+ "id": "e3e22598",
"metadata": {
"editable": true
},
@@ -5610,7 +5611,7 @@
},
{
"cell_type": "markdown",
- "id": "e55ce75f",
+ "id": "59f39060",
"metadata": {
"editable": true
},
@@ -5630,7 +5631,7 @@
},
{
"cell_type": "markdown",
- "id": "43a96eca",
+ "id": "bf3a2904",
"metadata": {
"editable": true
},
@@ -5640,7 +5641,7 @@
},
{
"cell_type": "markdown",
- "id": "3bdd1e79",
+ "id": "4a633f01",
"metadata": {
"editable": true
},
@@ -5666,7 +5667,7 @@
},
{
"cell_type": "markdown",
- "id": "5e607eee",
+ "id": "c09dc6a7",
"metadata": {
"editable": true
},
@@ -5682,7 +5683,7 @@
},
{
"cell_type": "markdown",
- "id": "aa448712",
+ "id": "592d4d57",
"metadata": {
"editable": true
},
@@ -5693,7 +5694,7 @@
{
"cell_type": "code",
"execution_count": 40,
- "id": "e4e02379",
+ "id": "1c25dc4e",
"metadata": {
"collapsed": false,
"editable": true
@@ -5924,7 +5925,7 @@
},
{
"cell_type": "markdown",
- "id": "27428d8d",
+ "id": "5072a8bd",
"metadata": {
"editable": true
},
diff --git a/doc/src/week43/week43.do.txt b/doc/src/week43/week43.do.txt
index da849bad6..1fccfd4e0 100644
--- a/doc/src/week43/week43.do.txt
+++ b/doc/src/week43/week43.do.txt
@@ -6,11 +6,12 @@ DATE: October 20, 2025
===== Plans for week 43 =====
!bblock Material for the lecture on Monday October 20, 2025
- * Building our own Feed-forward Neural Network with intro to Tensorflow
- * Solving differential equations with Neural Networks
+o Reminder from last week, see lalso ecture notes from week 42 at URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html" as well as those from week 41, see see URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html".
+o Building our own Feed-forward Neural Network.
+o Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..
+o Start discussions on how to use neural networks for solving differential equations (ordinary and partial ones). This topic continues next week as well.
# * Video of lecture at URL:"https://youtu.be/vkBNTn-MLqs"
-# * Video os second part, solving differential equations with neural networks at URL:"https://youtu.be/2N8To65I2wQ"
-# * Whiteboard notes on solving differential equations at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesOct21.pdf"
+# * Whiteboard notes on solving differential equations at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek43.pdf"
!eblock
@@ -18,9 +19,8 @@ DATE: October 20, 2025
!split
===== Exercises and lab session week 43 =====
!bblock Lab sessions on Tuesday and Wednesday
- * Exercise on writing your own neural network code
- * The exercises this week will be continued next week as well
- * Discussion of project 2
+o Work on writing your own neural network code and discussions of project 2. If you didn't get time to do the exercises from the two last weeks, we recommend doing so as these exercises give you the basic elements of a neural network code.
+o The exercises this week are tailored to the optional part of project 2, and deal with studying ways to display results from classification problems
!eblock
@@ -30,7 +30,7 @@ DATE: October 20, 2025
===== Using Automatic differentiation =====
In our discussions of ordinary differential equations and neural network codes
-we will also study the usage of Autograd, see for example URL:"https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at URL:"https://github.com/HIPS/autograd" and the lecture slides from week 40, see URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html".
+we will also study the usage of Autograd, see for example URL:"https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" in computing gradients for deep learning. For the documentation of Autograd and examples see the Autograd documentation at URL:"https://github.com/HIPS/autograd" and the lecture slides from week 41, see URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html".
!split