Machine learning (Specialized Lecture)
Undergraduate and graduate course, Wroclaw University, Faculty of Physics and Astronomy, 2021
It was a short introduction to neural networks (10h of lecture and 10h of labs). The course consists of:
- Basics of Pytorch
- Differentiating in PyTorch
- Linear and nonlinear regression
- Implementation from scratch regression models
- SciKit learn package
- Bayesian approach to a regression problem
- Shallow and deep neural networks
- Convolutional Neural Networks
- Generative Neural Networks