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하드웨어 배포

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

하드웨어에 딥러닝 및 머신러닝 워크플로를 배포합니다.

추천 예제

Classify ECG Signals Using DAG Network Deployed to FPGA

Classify ECG Signals Using DAG Network Deployed to FPGA

Classify human electrocardiogram (ECG) signals by deploying a trained directed acyclic graph (DAG) network.

라이브 스크립트 열기

Code Generation for a Deep Learning Simulink Model to Classify ECG Signals

Code Generation for a Deep Learning Simulink Model to Classify ECG Signals

Create and deploy a Simulink^® model for signal classification using wavelet-based features.

스크립트 열기

Deep Learning Code Generation on ARM for Fault Detection Using Wavelet Scattering and Recurrent Neural Networks

Deep Learning Code Generation on ARM for Fault Detection Using Wavelet Scattering and Recurrent Neural Networks

Perform acoustic-based fault detection on a Raspberry Pi using wavelet scattering and recurrent neural networks.

R2023a 이후
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Deploy Signal Classifier on NVIDIA Jetson Using Wavelet Analysis and Deep Learning

Deploy Signal Classifier on NVIDIA Jetson Using Wavelet Analysis and Deep Learning

Generate and deploy a CUDA^® executable to classify electrocardiogram signals using wavelet-derived features.

라이브 스크립트 열기

Deploy Signal Classifier Using Wavelets and Deep Learning on Raspberry Pi

Deploy Signal Classifier Using Wavelets and Deep Learning on Raspberry Pi

Classify human electrocardiogram signals on a Raspberry Pi using scalograms and a deep convolutional neural network.

라이브 스크립트 열기

Modulation Classification Using Wavelet Analysis on NVIDIA Jetson

Modulation Classification Using Wavelet Analysis on NVIDIA Jetson

Use wavelets to classify waveforms on a NVIDIA Jetson^®.

라이브 스크립트 열기