TIM DAVIS: Dance Like enables you to learn

how to dance on a mobile phone.

CHRIS MCCLANAHAN: TensorFlow can take our smartphone camera

and turn it into a powerful tool for analyzing body pose.

ANDREW SELLE: We have team at Google

that had developed an advanced model

for doing pose segmentation.

So we were able to take their implementation,

convert it into TensorFlow Lite.

Once we had it there, we could use it directly.

SHIKHAR AGARWAL: To run all the AI and machine learning

models to detect body parts, it's

a very computationally expensive process,

where we need to use the on-device GPU.

TensorFlow library made it possible so

that we can leverage all these resources, the compute,

on the device and give a great user experience.

ANDREW SELLE: Teaching people to dance

is just the tip of the iceberg.

Anything that involves movement would be a great candidate.

TIM DAVIS: And so that means people who have skills

can teach other people those skills.

And AI is just this layer that really just interfaces

between the two things.

When you empower people to teach people,

I think that's really when you have something

that is game changing.

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