Integration with Neural Networks
Connect WiTwin with deep learning frameworks
Under Construction
This tutorial is currently being developed and will be available soon.
Overview#
The Neural Networks Integration tutorial will cover:
- PyTorch and TensorFlow integration
- Differentiable simulation for gradient-based optimization
- Neural network-based channel modeling
- Learning-based beamforming and resource allocation
- End-to-end communication system design with ML
What to Expect#
Neural Networks Integration will show you how to combine WiTwin's physics-based simulations with modern deep learning frameworks. Train neural networks using simulation data, perform gradient-based optimization through differentiable simulation, and build intelligent wireless systems.
Check back soon for the complete tutorial with code examples and visualizations.