How to deploy deep learning networks for Hardware-in-the-Loop (HIL) simulation with, for example, Speedgoat or dSPACE hardware systems from MATLAB R2018b onward?
I want to generate plain code out of my keras deep learning neuronal network to avoid the dependency of third-party libs. I do this in MATLAB R2021a.
After that, I would like to build an S-Function for the use inside a model in MATLAB R2017b for deployment in HIL, which is set up in MATLAB R2017b. What is the recommended workflow?I want to generate plain code out of my keras deep learning neuronal network to avoid the dependency of third-party libs. I do this in MATLAB R2021a.
After that, I would like to build an S-Function for the use inside a model in MATLAB R2017b for deployment in HIL, which is set up in MATLAB R2017b. What is the recommended workflow? I want to generate plain code out of my keras deep learning neuronal network to avoid the dependency of third-party libs. I do this in MATLAB R2021a.
After that, I would like to build an S-Function for the use inside a model in MATLAB R2017b for deployment in HIL, which is set up in MATLAB R2017b. What is the recommended workflow? MATLAB Answers — New Questions
