Deep Learning Toolbox R2024a: Major Update and New Examples
- Simulink co-execution blocks to simulate Python®-based (PyTorch®, TensorFlow™, ONNX™, and custom) models in a system-wide context.
- Explainability and verification tools to explain network results and verify the reliability of deep neural networks.
- Support for more deep learning architectures, including transformers, and training options.
New Examples on Features
Model Design | Explainability and Verification | Integration with Python |
Create and Train Network with Nested Layers | Verification of Neural Networks | Predict Responses Using PyTorch Model Predict Block |
New Examples on Applications
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