Overcoming the Challenges of Adding Machine Learning to Your Products
Last modified by Microchip on 2025/01/20 09:04
Overview of Artificial Intelligence and Machine Learning in Embedded Applications |
This class provides a high-level overview of implementing Artificial Intelligence (AI) and Machine Learning (ML) in edge applications using MCUs and MPUs. You'll learn the fundamental steps required to create a machine learning application. You'll learn how to capture and organize the data necessary for a machine learning application, and how the MPLAB® Machine Learning Development Suite can be used to build the machine learning model. You'll eventually need to port this model to an MCU or MPU, so we'll show you how that can be done too.
Class Contents:
- Overview of Artificial Intelligence and Machine Learning in Embedded Applications
- What is Artificial Intelligence, Machine Learning, and Deep Learning?
- Why is Machine Learning so Popular Now?
- Why Machine Learning at the Edge?
- Machine Learning Edge Applications
- Steps for Developing a Machine Learning Application
- Where Does Each Step Occur?
- Capturing the Data
- Organizing the Data
- Building the Model
- Deploying the Model