Use MATLAB to Train on Jetson Nano: Unterschied zwischen den Versionen
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=== [[Overview]] === | === [[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. | 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 fundamentals 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 [https://de.mathworks.com/videos/search.html?q=&fq%5B%5D=product:GC&page=1]. | |||
#Gpu Coder | |||
*Helps targeting GPUs for Automotive Applications. | |||
=== [[Result]] === | === [[Result]] === | ||
Version vom 13. Mai 2025, 20:55 Uhr
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 fundamentals 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].
- Gpu Coder
- Helps targeting GPUs for Automotive Applications.