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Deploy deep learning and machine learning workflows onto
Classify human electrocardiogram (ECG) signals by deploying a trained directed
acyclic graph (DAG) network.
Create and deploy a Simulink® model for signal classification using wavelet-based
Perform acoustic-based fault detection on a Raspberry Pi using wavelet scattering and recurrent neural networks.
Generate and deploy a CUDA® executable to classify electrocardiogram signals using
Classify human electrocardiogram signals on a Raspberry Pi using scalograms and a deep convolutional neural network.
Use wavelets to classify waveforms on a NVIDIA Jetson®.
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