Pretrained Resnet-101 network model for image classification

Pretrained GoogLeNet network trained on Places365 data set for image classification

Send and receive CAN messages with NI-XNET CAN devices.

Control NI-FGEN devices and create arbitrary waveforms.

Use NI-845x I2C/SPI devices to connect to your chips, circuit boards, sensors.

Pretrained NasNet-Mobile network model for image classification

Incorporate pre-trained TensorFlow Lite (TFLite) models into MATLAB and Simulink applications for simulation and deployment to hardware.

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

Pretrained EfficientNet-b0 model for image classification

Use GPU Coder to generate optimized CUDA code for deep learning networks

Model based Embedded Software development for Infineon AURIX Microcontrollers

Automatically program the VEX EDR V5 Robot Brain using Simulink

Debug and test HDL code on Microchip FPGAs using FPGA-in-the-loop

Create driving scenarios using imported road data from Zenrin Japan Map API 3.0 (Itsumo NAVI API 3.0).

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0

Pretrained ShuffleNet model for image classification

Pretrained Inception-ResNet-v2 network model for image classification

Pretrained MobileNet-v2 model for image classification

Import OpenCV functions into Simulink.

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