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ONNX Runtime: It’s an open up-resource inference motor for functioning machine learning models on many different platforms. This incorporates embedded devices. It’s optimized for performance and effectiveness, making it perfect for embedded AI applications.
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During this module, We'll have a look at how neural networks function, tips on how to train them, and how to use them to complete inference within an embedded system. We are going to carry on the former demo of creating a motion classification system using motion data collected from a smartphone or Arduino board.
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Draw in freelance gigs and artistic collaborations by demonstrating your ability to integrate AI more info into Qualified workflows
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