Name: TF World '19中的TensorFlow有哪些新內容？ (What’s new in TensorFlow from TF World ‘19)
Uploaded: 2021-01-14T10:03:16.000Z
Duration: 5 min 12 s
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and I'm the product manager for TensorFlow Lite.

of the really exciting things that we have to demo today

MARK STUBBS: What we're demonstrating here

is TensorFlow Lite micro running on a Cortex-M4 from Ambiq.

So we're simulating an anomaly with an offset weight

When we increase the speed, vibration happens.

This turns red, that indicates there's an anomaly.

That's running from the TensorFlow Lite micro engine.

And then on the cloud, this will turn red as well.

TIM DAVIS: Check out tensorflow.org/lite.

There's lots of code, documentation and samples

GAL OSHRI: So TensorBoard is TensorFlow's visualization

It enables you to track your training metrics like loss

and accuracy, visualize your model draft,

inspect the model parameters, and a lot more.

At TensorFlow World, we announced TensorBoard.dev,

which lets you easily upload your TensorBoard logs and get

back a link that you can send to anyone so you can include it

in your GitHub issues, your Stack Overflow questions,

You can go to TensorBoard.dev to learn more and try out

a collab that you can get started with really easily.

a library for doing machine learning in JavaScript.

And it brings machine learning in the hands of web developers

and other JavaScript developers who don't necessarily now have

which let you bring machine learning into your application

make it super easy to enhance your web applications with.

some faster versions and performance improvements

like accessibility, recognizing people, and gestures

and images, text classification in web interfaces,

In addition to using these pre-trained models out

of the box that we packaged for you, often

you need to train a custom model for your application

which lets you bring your data to Google Cloud

And these models are optimized for your problem,

they give excellent accuracy and performance,

We are really excited to announce that we now

have integration of TensorFlow JS with this AutoML service.

So what that means is after training a custom image

for use in a web application with the click of one button.

that they get in their workflow by using the service.

We are also showing some of the improvements

that we have on performance and platforms.

One of the things we are really excited about

So if you are a React Native developer who

applications, you can now use TensorFlow JS

and you'll get the full power of WebGL acceleration.

who are giving exciting talks on applications that they are

One of our favorites is from Dr. Joseph Paul

Cohen, who is from the University of Montreal.

TensorFlow JS for scoring chest X-ray radiology

client-side in the browser, doesn't go to the server side,

and you can run powerful machine learning models directly

at TensorFlow Extended, or TFX, including the great pipeline

that you can create to move your model to production with TFX.

Pipeline starts over here on the left where

then you're running statistics across your data, which

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TF World '19中的TensorFlow有哪些新內容？ (What’s new in TensorFlow from TF World ‘19)

recognize

demonstrate

native

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