Teaching Material for the Machine Learning in Physics VDSP-ESI Winter School 2020.
Monday:
- Introduction to important ML libraries
- From scikit-learn to TensorFlow and PyTorch via SVM (TensorFlow playground)
Tuesday:
- How we do repeatable scientific ML experiments (project template, visualization of a CNN, introduction to different types of convolutions in DL)
- Towards SOTA: transfer learning using fast.ai
- Solving Kolmogorov PDEs using DL
If you have any questions, feel free to contact us (Pavol Harar, Julius Berner).
