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Deep Learning in Simulink for NVIDIA GPUs: Classification of ECG Signals

Learn how to use GPU Coder™ with Simulink® to design, verify, and deploy your deep learning application onto a NVIDIA Jetson® board. - Learn more about Deep Learning: See how to use advanced signal processing and deep neural networks to classify ECG signals. Start the workflow by running a simulation on the desktop CPU before switching to the desktop GPU for acceleration. Once the simulation is complete and the results meet your requirements, use software-in-the-loop testing on the desktop GPU and processor-in-the-loop testing on the Jetson board to numerically verify that the generated CUDA® code results match the Simulink simulation. Finally, deploy the complete application as optimized CUDA code to the Jetson board.

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