Name: TensorFlow開發峰會2020主題演講 (TensorFlow Dev Summit 2020 Keynote)
Uploaded: 2021-01-14T10:34:58.000Z
Duration: 31 min 12 s
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Welcome to the 2020 TensorFlow Developer Summit Livestream.

I'm Megan Kacholia, VP of Engineering for TensorFlow.

Thanks for tuning into our fourth annual developer

With the recent developments of the coronavirus,

we're wishing all of you good health, safety, and well-being.

hoping the Dev Summit is more accessible than ever

with exciting announcements, so let's get started.

to build AI to solve real world problems.

I'd like to share an example of one of those people.

Irwin is a radiologist in the Philippines

and no stranger to bone fracture images like the ones

and wanted to learn how AI could be applied to radiology

but was discouraged because he didn't have a computer science

which allowed him to build this machine learning application

that could classify bone fracture images.

Now, he hopes to inspire his fellow radiologists

to actively participate in building AI to,

TensorFlow has been downloaded millions of times

with new stories like Irwin's popping up every day.

And it's a testament to your hard work and contributions

So on behalf of the team, I want to say a big thank you

Taking a look back, 2019 was an incredible year for TensorFlow.

We certainly accomplished a lot together.

We kicked off the year with our Dev Summit,

launched several new libraries and online educational courses,

went to 11 different cities for the TensorFlow roadshow,

and hosted the first TensorFlow World last fall.

2019 was also a very special year for TensorFlow

It was an important milestone for the platform

because we looked at TensorFlow end to end

and asked ourselves, how can we make it easy to use?

Some of the changes were simplifying the API,

The community really took the changes to heart,

and we've been amazed by what the community has built.

Here are some great examples from winners of our 2.0 Dev

Post Challenge like Disaster Watch, a crisis mapping

platform that aggregates data and predicts

physical constraints caused by a natural disaster,

or DeepPavlov, an NLP library for dialog systems.

more importantly, what you wanted to see improved.

You told us that building models is easier

But migrating your 1.x system to 2.0 is hard.

And that's why we're excited to share the latest

We're building off of the momentum from 2.0 last year.

You've told us speed and performance is important.

That's why we've established a new baseline

so we can measure performance in a more structured way.

For people who have had trouble migrating to 2,

Finally, we're committed to that 2.x core library.

Today, we want to spend the time talking about the TensorFlow

You've told us that a big reason why you love TensorFlow

to help you accomplish your end and end ML goals.

or apply ML in the real world, there is a tool for everyone.

For applied ML engineers or data scientists,

you get tools that help your models have real world impact.

Finally, there are libraries in the ecosystem that

can help create better AI experiences for your users,

All of this is underscored by what all of you, the community,

bring to the ecosystem and our common goal of building AI

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TensorFlow開發峰會2020主題演講 (TensorFlow Dev Summit 2020 Keynote)

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