Name: TensorBoard (TF Dev Summit '20)
Uploaded: 2020-03-31T07:11:35.000Z
Duration: 3 min 34 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

EWA MATEJSKA: So tell me, what's TensorBoard?

GAL OSHRI: So TensorBoard is TensorFlow's visualization tool

It is a popular tool for ML researchers and engineers

to understand their ML experiment results,

from tracking metrics to visualizing the model,

inspecting parameters, embeddings, and a lot more.

EWA MATEJSKA: How do I learn more about TensorBoard?

to tensorflow.org/tensorboard, where we have a variety

of different tutorials you can easily follow to understand

Each of these tutorials runs in the Google Colab,

so you can easily click, run Google Colab,

and then view that tutorial and run it yourself

to see the results and open TensorBoard directly

EWA MATEJSKA: So are these available to try right now?

So if you go to the tensorflow.org/tensorboard

website, you can see all those tutorials, click on them,

So late last year, we launched tensorboard.dev.

We noticed a lot of people were taking screenshots

of their TensorBoard and sharing it in papers and GitHub repos

is not interactive and doesn't convey all the information.

We just saw that TensorBoard has so many capabilities,

but a screenshot just captures one part of that.

to upload their TensorBoard logs and get a link that they can

the full experience of their TensorBoard.

learn a bit more about what TensorBoard.dev offers.

And you can click on the example Colab to learn how to get

And then later, we have the TensorBoard.dev upload command.

This takes the logs that I want to upload, as well

as, as of last week, I can include a name

and description to the experiment to give a little bit

you can immediately see, what was the Colab that

created this, or include a link to the GitHub repository

or the paper that you want to reference, or just

And when I follow that link, I can open that TensorBoard

immediately, even if the experiment was still

I can now click on the top right Share button over here

to share it on various social media, or just copy the link

I can't wait to share this with my mother.

So tell me, if there's one thing I need to take away

GAL OSHRI: So if you're not familiar with TensorBoard,

I suggest checking out tensorflow.org/tensorboard

to learn more about TensorBoard's capabilities

want to share your experiments, check out TensorBoard.dev

me a bit more about TensorBoard and what's new.

Subtitles ListPlay Video

TensorBoard (TF Dev Summit '20)

absolutely

context

awesome

progress