Embedded Files
"Making Embedded devices intelligent with the help of machine learning"
Microcontroller Devices
END-TO-END ML Pipeline
END-TO-END ML Pipeline
What is TinyML
What is TinyML
"Key word spotting"
"Key word spotting"
USE CASES
Why?
Why?
Why we need to implement ML on Embedded Devices?
How do We Enable TinyML?
How do We Enable TinyML?
Challenges
Challenges
Software Challenges
Embedded software is not as portable and flexible as mainstream computing
Limited OS support
Hardware Challenges
Embedded hardware is extremely limited in performance, power consumptions and storage
Readings:
The Future of ML is Tiny and Bright: https://bit.ly/3r9JMXk
An Introduction to TinyML: https://bit.ly/3rlM6e5
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