Name: Swift for TensorFlow (TF World '19) (Swift for TensorFlow (TF World '19))
Uploaded: 2021-01-14T10:34:49.000Z
Duration: 39 min 21 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：

to welcome our next speakers, Paige Bailey and Brennan Saeta,

who are going to talk to us about Swift for TensorFlow,

a next generation machine learning platform

So please help me in welcoming Paige and Brennan.

So thank you for coming to join us during the lunchtime.

taking the time to come to TensorFlow world

and also to learn a little bit more about Swift.

I'm the product manager for Swift for TF and--

I'm tech lead manager for Swift for TensorFlow.

And so, first, we want to get a feel for the room.

attended Paris and Tim and their session, their workshop on--

So this is a great place to get started if you've never

how Swift is getting more and more functionality

added specifically for machine learning and for deep learning.

BRENNAN SAETA: So today we want to bring you a little bit

different kind of a presentation since a lot of you

actually know Swift, at least to some degree.

We wanted to really dig one level deeper and really

explore Swift for TensorFlow from its foundations.

So before we get into the meat of the talk,

this work would not be possible without the rest

of the Swift for TensorFlow team that really

does a huge amount of work to make this platform awesome,

from the JAX team to the rest of TensorFlow and beyond.

And so we really are collaborating together

and building on each other's work to make something awesome.

and then, of course, our awesome open source contributors

are really making a huge difference to the project.

And, finally, for those of you who are familiar with Fast.ai,

co-presented a little bit Swift for TensorFlow

And I encourage you all to check that out.

So, to begin with, I like to start with a question--

PAIGE BAILEY: And I could give my answer.

So I've been using Python for a long time.

I really love the flexibility and often the user experience

You read the code on the page and it reads almost

has a vibrant ecosystem of data science tooling.

But something that I was always really frustrated

Python models into production is that often you

don't necessarily translate so well to deployment scenarios.

So Swift is, to me, at least, a happy way

to get a lot of the great benefits of Python,

but also the benefits of a typed language.

And so what we are going for with Swift for TensorFlow

that gets you all the way from research, into production,

and, most importantly, that everything is customizable.

Because although there's a lot of flexibility

need just the same amount of flexibility and capability,

to really make a high quality production application.

really excited about with Swift for TensorFlow,

how we can do interesting things to optimize our productivity.

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Swift for TensorFlow (TF World '19) (Swift for TensorFlow (TF World '19))

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