Use MATLAB to Train on Jetson Nano: Unterschied zwischen den Versionen
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#Gpu Coder | #Gpu Coder | ||
*Helps targeting GPUs for Automotive Applications. | *Helps targeting GPUs for Automotive Applications. | ||
[[Datei:Gpu coder APP.png|mini]] | |||
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|+ Tabelle 4: GPU Coder Setup | |||
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! # !! !! Description !! Pictures | |||
|- | |||
| 1 || Access GPU APP || || [[Datei:Gpu coder APP.png|mini]] | |||
|- | |||
| 2 || Select Targeted GPU|| | |||
|- | |||
| 3 || Generate c/c++ || || | |||
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=== [[Result]] === | === [[Result]] === | ||
Version vom 1. Juni 2025, 13:05 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.
| # | Description | Pictures | |
|---|---|---|---|
| 1 | Access GPU APP |  | |
| 2 | Select Targeted GPU | ||
| 3 | Generate c/c++ |