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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.

Explore Other Tutorials#

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