Episode 28: Tiny ML Pain Points and Pull Requests

In this episode of Pain Points and Pull Requests, Carla and Fatimah discuss TinyML. TinyML refers to the optimizing of machine learning models in order to reduce their size to kilobytes and run them on tiny devices. Join Fatimah and Carla for a short discussion on some of the core concepts of TinyML and one of the projects they’ve recently tried out.


Time stamps

1:00 Why we’re interested in TinyML

2:20 An intro to TinyML

4:05 How TinyML works

6:51 A discussion on our first TinyML project

11:09 What is Arduino

11:50 The benefits of TinyML

13:32 Applications of TinyML


Resources

TinyML book

https://www.oreilly.com/library/view/tinyml/9781492052036/

Pete Warden’s blog

https://petewarden.com/

TinyML examples

https://github.com/tensorflow/examples/tree/master/lite/examples