Name: AI Experiments: Making AI Accessible through Play (TF Dev Summit ‘19)
Uploaded: 2020-03-25T07:04:33.000Z
Duration: 5 min 53 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

called the Creative Lab, a team inside of Google.

And some of us are interested in creating

and make more accessible some of the machine learning research

Now, before I talk about some of the products on the site,

inspired by pioneering AI researcher Seymour Papert, who

"Every maker of video games knows something

that the makers of curriculum don't seem to understand.

You'll never see a video being advertised as being easy.

Kids who do not like school will tell you

So if there are some parents in the room,

you might be agreeing with this statement.

were inspired by this thinking that learning should

with the TensorFlow.js team and many other research

And essentially it's a KNN classifier that

And it lets you train three classes of images

that trigger different kinds of inputs, like GIFs and sound.

So I don't have time to demo it, but I'll

show you what happens after you train a model with the tool.

Yeah, so, hopefully, you get how it works.

Alex Chen, the creator, he trained a class

to recognize the bird origami and another class

All the inference and training is happening in the browser.

we open sourced the boilerplate code that

And what happened next was that we were really kind of taken

aback by all the stories of teachers around the world,

like this one, who started using Teachable Machine to introduce

the computer to recognize handmade stop signs.

And finally, we heard from another renowned and pioneering

researcher, Hal Abelson, who teaches at MIT, that he

had been using Teachable Machine to introduce ML

And for a lot of them, it was the first time

So needless to say, we're really happy that although simple

being a really good tool for educators and people

and you get an image with a matching pose.

And again, this is all happening on the web.

So here's another example of, actually, people using it

that in order to make the experiment really accessible,

to have a complicated tech setup or to use IR cameras or depth

To our knowledge, it's the first pose estimation

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AI Experiments: Making AI Accessible through Play (TF Dev Summit ‘19)

essentially

recognize

engage

experiment