Day2

Day 2

09-10 Supervised Learning

10-11 Random Forests, boosting etc.

11-12 Exercise

13-14 Lecture: Introduction to neural networks.

Teacher: Anders

Slides: NNintro1.pdf.

Notebook for gradient descent

14-16 Introduction to PyTorch

Teacher: Andreas Bjerregaard

Notebook for PyTorch intro and last year's tensor exercises.

A tip to stay sane: Remember you don't need to memorize code. Get help from

• PyTorch.org Cheat Sheet
• Stack Overflow
• GitHub Copilot and ChatGPT