ivanovitchm/embedded.ai
Repository for DCA0306, an undergraduate course about Embedded Artifical Intelligence
This repository provides comprehensive educational materials for understanding and implementing machine learning on small, low-power devices. It teaches you how to design and optimize AI models to run efficiently on embedded systems, taking raw sensor data as input and producing real-time inferences or actions as output. The content is designed for students, engineers, or hobbyists interested in the practical application of AI in resource-constrained environments.
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Use this if you want to learn the fundamentals of TinyML and apply machine learning to microcontrollers and other embedded hardware.
Not ideal if you are looking for a plug-and-play solution or an advanced research library for large-scale AI models.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Dec 01, 2022
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