Introduction to Machine Learning with PyTorch
- Building simple networks with PyTorch
- Tensors and automatic differentiation
- Creating and training models
- MicroSim: PyTorch model builder
- Comparing traditional and deep learning approaches
- GPU acceleration and optimization
- Model saving and deployment