Plans for week 43, October 20-24

Dear all, we hope you have had a great weekend. Here follows a short update about the plans for the coming week. 

Material for the lecture on Monday October 20, 2025.

1. Reminder from last week, see also lecture notes from week 42 at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week42.html as well as those from week 41, see see https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/week41.html.

2. Building our own Feed-forward Neural Network.

3. Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka's text, see chapters 11-13..

4. Start discussions on how to use neural networks for solving differential equations (ordinary and partial ones). This topic continues next week as well.

Exercises and lab session week 43

Lab sessions on Tuesday and Wednesday.

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.

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.

Wishing you all the very best,

Morten et al