Name: Udacityの創業者とTensorFlowについて語り合う（TensorFlow Meets (Discussing TensorFlow with the founder of Udacity (TensorFlow Meets))
Uploaded: 2021-01-14T10:35:12.000Z
Duration: 3 min 50 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

and I'm a TensorFlow developer advocate at Google,

here for TensorFlow Meets with Sebastian Thrun,

SEBASTIAN THRUN: [LAUGHS] That's good enough.

Can you tell us a little bit more about it?

SEBASTIAN THRUN: Well, it's our second course

We launched the original TensorFlow course a while back.

And over 40,000 students took this free course

I think it's the most successful platform ever.

Now, with the launch of TensorFlow 2.0 Alpha,

called Introduction to TensorFlow, Induction

And you can find it on the web at Udacity.com/TensorFlow.

And for the students who are taking the course,

I know that sometimes they might feel a little bit apprehensive,

have the mathematical background they need in order to be

Is that really the case, or does this course kind

engineer just within the space of a few lessons?

SEBASTIAN THRUN: So we are really changing this.

I agree, many courses require a lot of math.

Students can sign up without any PhD or any extensive math

And here's the cool thing about TensorFlow,

it actually makes computer program easier, not harder.

And the reason is, in the past, to be a software engineer,

a step by step recipe called software what to do.

to follow every single step, and that is actually pretty hard

Now, with TensorFlow 2.0, all you do is you

and the computer find its own rules that actually makes

no matter what your background is, to try it out.

PAIGE BAILEY: It feels pretty magic, right,

to be able to take data and then whatever your expected output

should be, and to be able to generate the rules that you

would otherwise have to painstakingly turn into FL

what happens right now in society thanks to TensorFlow

TensorFlow gets better results than the best human physicians.

drafting, where the TensorFlow outperforms the best

Self-driving cars now massively use TensorFlow these days.

So there are so many areas where you can take your skills

and bring them to the betterment of rules

And I heard also, I believe, that you guys are using machine

learning for Udacity to optimize your curriculum for students as

SEBASTIAN THRUN: Yes, so we've massively used machine

learning to help sort students into the right curriculum

because our goal at Udacity is to close the talent

gap and the skills gap and really empower

everybody to have a job in the modern world.

So it sounds like students, all they would have to do is go

to Udacity.com/TensorFlow, sign up for the free course,

and begin the learning experience to find out all

SEBASTIAN THRUN: Yeah, and in this free course,

If you don't like it, you get your money back.

So remember to try out our TensorFlow 2.0 course

And if you have any comments for me or for Sebastian,

make sure to leave them in the field below.

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Udacityの創業者とTensorFlowについて語り合う（TensorFlow Meets (Discussing TensorFlow with the founder of Udacity (TensorFlow Meets))

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