This support package enables you to deploy a deep learning processor on Intel® FPGA and SoC based hardware from MATLAB

Generate C code for single and multicore devices on bare metal, RTOS, and middleware services

Gray land, white water basemap data for geographic visualization

Pretrained EfficientNet-b0 model for image classification

Pretrained DarkNet-53 network model for image classification

Pretrained DarkNet-19 network model for image classification

Pretrained Inception-ResNet-v2 network model for image classification

Pretrained DarkNet-19 network model for image classification

Pretrained ShuffleNet model for image classification

Pretrained NasNet-Mobile network model for image classification

Pretrained NasNet-Large network model for image classification

Pretrained GoogLeNet network trained on Places365 data set for image classification

This support package enables you to deploy a deep learning processor on Intel® FPGA and SoC based hardware from MATLAB

Generate C code for single and multicore devices on bare metal, RTOS, and middleware services

Gray land, white water basemap data for geographic visualization

Add analytics to your Kafka streaming pipeline with MATLAB Production Server, and interact with Kafka streams using the MATLAB desktop.

Connect to Velodyne LiDAR sensors and stream point clouds directly into MATLAB for processing and visualization

Import OpenCV functions into Simulink.

The "Model Risk Manager for MATLAB" add-on is designed to help users manage, assess, and mitigate risks associated with financial models

Gray terrain basemap data for geographic visualization

Pretrained MobileNet-v2 model for image classification