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Workflow for Deploying a Neural Network to a STM32

 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:

- Explore Embedded Coder:

- Discover the Deep Learning Toolbox:

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