Hi all, I am teaching “Built Environment” students how to use TinyML so that we can instrument our built and natural environment. Working through the TinyML book the examples are all great. However, when I train my own models the results tend to be grim. For example, Chapter 7 micro_speech wake words “yes, no” = success. Chapter 8 micro_speech any other combinations of words (e.g. “on, off”) don’t seem to work for me.
QUESTION: does anyone have any guides for strategies around how to investigate how a model is working or what levers to tweak - for example, where do people start in trying to debug why the model is not recognising “on”. I think this is a really interesting challenge for students since we often give the them examples that work for teaching but then when they try and do their own project they start to struggle.