Will be available for a few days only
Jupyter Notebook on how to use PyTorch to approximate functions with neural networks and solve PDE
- Intro to PyTorch
- Intro to automatic differentiation
- Intro to gradient-based optimization
- Intro to PINN (physics-informed neural network)
- PINN for simple inverse problem
There is also a Python script with content equivalent to the notebook, it will create all the figures at once though.
Numpy, Matplotlib, Torch, Jupyter