하드웨어 배포

C/C++ 코드 생성, GPU 코드 생성, Raspberry Pi^®, NVIDIA^® Jetson^®

하드웨어에 딥러닝 및 머신러닝 워크플로를 배포합니다.

추천 예제

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^®.