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How could concepts trained on top of your Teachable Machine model help you explore bias within your model?

conceptual-machine.netlify.com/

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inspectable-machine

just early hacking so far

screenshots

flow

browsing

embedding spaces

stretching the space

3d sprites are ooooh, but confusing

datasets

oxford pets

https://www.robots.ox.ac.uk/~vgg/data/pets/ https://www.kaggle.com/tanlikesmath/the-oxfordiiit-pet-dataset

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How could concepts trained on top of your Teachable Machine model help you explore bias within your model?

conceptual-machine.netlify.com/

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