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On this module, We'll look at how neural networks perform, the way to train them, and how to use them to complete inference within an embedded system. We'll carry on the prior demo of creating a movement classification system using motion data collected from the smartphone or Arduino board.

That is why embedded AI systems are frequently deployed on edge devices. Which means that these devices can procedure data in real-time. Getting rid of the necessity to ship it on the cloud. It is necessary in which latency is vital. Like self-driving cars and trucks and industrial automation systems.

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