Hardware Deployment

C/C++ code generation, GPU code generation, Raspberry Pi^®, NVIDIA^® Jetson^®

Deploy deep learning and machine learning workflows onto hardware.

Featured Examples

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 features.

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 wavelet-derived features.

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^®.