Introduction to Embedded Machine Learning 1.4.3 - Machine Learning Pipeline

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Embedded machine learning is the process of running machine learning algorithms (including deep learning) on embedded systems, such as microcontrollers and single board computers. These videos come from the Coursera course: Introduction to Embedded Machine Learning. If you would like to take the full course, complete projects, and earn a certificate in embedded machine learning, please go here:

Shawn details the difference between parameters and hyperparameters. He also discusses how a model is trained remotely before being uploaded to an embedded system to perform inference when the platform is deployed in the field.
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Good work!
Is it possible to get your slides?

nahommengistu