Use MATLAB to Train on Jetson Nano
Setup
Overview
To train the AI using MATLAB, I will write a script on MATLAB and then use GPU Coder to flash the function/model on the JetRacer. So all the debugging process will be on MATLAB.
Key Concepts
- Deep Learning with MATLAB
- The fundamental of training an AI system is called deep learning. MATLAB provides a variety of helpful toolboxes, pre-trained networks, and tools to process data into useful input for an AI [1].
- The training can be stored as a model, usually in a .MAT format, which can be used. Hence, we do not have to train a model every time we want to use it.
- Gpu Coder
- GPU Coder generates optimized CUDA® C++ from your MATLAB® algorithms, unlocking the parallel compute power of the Jetson GPU for real-time processing on your JetRacer and improve 40 times the performance on the jetracer [2][3].
- Helps target GPUs for automotive applications.