TinyML models may be trained on several different data, which include sensor data, pictures, and textual content. At the time trained, the models is often deployed to devices and used to make predictions or decisions without the need for a cloud connection.
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ONNX Runtime: It’s an open-supply inference engine for running machine learning models on a variety of platforms. This includes embedded devices. It’s optimized for performance and efficiency, making it perfect for embedded AI applications.
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