THE GREATEST GUIDE TO ML FOR EMBEDDED SYSTEMS

The Greatest Guide To ML for embedded systems

The Greatest Guide To ML for embedded systems

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Within this module, We're going to check out how neural networks work, how to train them, and how to rely on them to accomplish inference within an embedded system. We're going to carry on the previous demo of creating a movement classification system using movement data collected from a smartphone or Arduino board.

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Predictive Modeling and Decision Trees: Dive into supervised learning techniques, like regression and classification, and understand how to build models which will predict outcomes with precision.

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