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MATLAB | Workflow for Deploying a Neural Network to a STM32 @MATLAB | Uploaded September 2023 | Updated October 2024, 1 week ago.
This overview provides a high-level explanation of Edge AI and the benefits it can bring developers in the form of virtual sensors. Server-based neural networks require input/output devices to maintain constant communication. In situations where network connectivity or low latency is not guaranteed, it becomes unsafe to employ server-based neural networks. This applies to applications such as cars, robots, or machines on a factory floor. Therefore, neural networks that live on devices become a necessity.

- Download the STM32 Hardware Support Package: bit.ly/3P00i8q
- Explore Embedded Coder: bit.ly/3MvjybB
- Discover the Deep Learning Toolbox: bit.ly/3yEX9TL
- Generate Library Free C Code: youtu.be/qhgIHKt_Wgk

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Workflow for Deploying a Neural Network to a STM32 @MATLAB

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