and I'm a TensorFlow developer advocate at Google,

here for TensorFlow Meets with Sebastian Thrun,

founder of Udacity, founder of Google X,

renowned deep learning researcher, and--

did I miss anything?

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

PAIGE BAILEY: [LAUGHS] Excellent.

So we're really excited to have you

here today to talk about the new Udacity

course for TensorFlow 2.0.

Can you tell us a little bit more about it?

SEBASTIAN THRUN: Well, it's our second course

between my company, Udacity, and Google.

We launched the original TensorFlow course a while back.

And over 40,000 students took this free course

and became TensorFlow developers,

which is really amazing.

I think it's the most successful platform ever.

Now, with the launch of TensorFlow 2.0 Alpha,

we have a new course, right on time,

called Introduction to TensorFlow, Induction

to Deep Learning.

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

PAIGE BAILEY: Perfect.

And for the students who are taking the course,

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

that maybe they don't necessarily

have the mathematical background they need in order to be

successful at deep learning.

Is that really the case, or does this course kind

of take them from zero to deep learning

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.

We don't.

Students can sign up without any PhD or any extensive math

experience.

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,

you had to give these dumb computers

a step by step recipe called software what to do.

And these dumb computers would have

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

to do.

Now, with TensorFlow 2.0, all you do is you

train based on examples, right.

You give examples to the computer,

and the computer find its own rules that actually makes

programming easier, not harder.

So I encourage anybody in the world,

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

And you can become a TensorFlow expert.

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

statements or something.

SEBASTIAN THRUN: Yeah, and it's amazing

what happens right now in society thanks to TensorFlow

and deep learning.

We now in medicine have examples where

TensorFlow gets better results than the best human physicians.

In law, we have areas like, whatever,

legal document discovery and contract

drafting, where the TensorFlow outperforms the best

human experts.

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

if you just take this one free course.

PAIGE BAILEY: Yes.

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

learning for Udacity to optimize your curriculum for students as

well, right?

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

learning to help sort students into the right curriculum

and then helping them making through it,

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 that's part of our strategy.

PAIGE BAILEY: Excellent.

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

about TensorFlow 2.0.

SEBASTIAN THRUN: Yeah, and in this free course,

we have a guarantee.

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

PAIGE BAILEY: [LAUGHS] Awesome.

So remember to try out our TensorFlow 2.0 course

on Udacity at Udacity.com/TensorFlow.

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

make sure to leave them in the field below.