Introduction to Embedded Machine Learning 2.1.2 - Model Training in Edge Impulse

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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 demonstrates how a machine learning model can be trained in Edge Impulse. He walks through the process of training a model used to classify different types of motion as measured by an accelerometer and shows how training/validation loss and accuracy can be used to measure the training progress.
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