Part 6: Deep Learning with PyTorch
Chapter 28: Working with Complex-Valued Data in Neural Networks
Advanced~120 min
Learning Objectives
- Implement complex-valued neural network layers in PyTorch
- Design activation functions that preserve complex structure
- Implement differentiable forward models for end-to-end training through the physics
Sections
💬 Discussion
Loading discussions...