TensorFlow World 2019
October 30, 2019, Santa Clara, USA
TensorFlow World 2019
Video
Building models with tf.text (TF World '19)
Available
In cart
Free
Free
Free
Free
Free
Free
Add to favorites
4.23 K
I like 0
I dislike 0
Available
In cart
Free
Free
Free
Free
Free
Free
  • Description
  • Discussion

About speaker

Robby Neale
Software Engineer at Google

About the talk

There are many resources for building models from numeric data, which meant processing text had to occur outside the model. This talk will introduce RaggedTensors and tf.text, showcasing its text-based ops, and show how you can quickly build a model starting with text input in tf.data.

Presented by: Robby Neale


Share

Cackle comments for the website

Buy this talk

Access to the talk “Building models with tf.text (TF World '19)”
Available
In cart
Free
Free
Free
Free
Free
Free

Access to all the recordings of the event

Get access to all videos “TensorFlow World 2019”
Available
In cart
Free
Free
Free
Free
Free
Free
Ticket

Interested in topic “AI and Machine learning”?

You might be interested in videos from this event

March 11, 2020
Sunnyvale
30
205.62 K
dev, google, js, machine learning, ml, scaling, software , tensorflow, web

Similar talks

Kangyi Zhang
Software Engineer at Google
+ 3 speakers
Brijesh Krishnaswami
Software Engineering Manager at Google
+ 3 speakers
Joseph Paul Cohen
Postdoctoral Fellow at University of Montreal
+ 3 speakers
Jared Duke
Software Engineer at Google
+ 3 speakers
Available
In cart
Free
Free
Free
Free
Free
Free
Da-Cheng Juan
Senior Software Engineer at Google
+ 1 speaker
Sujith Ravi
Senior Staff Research Scientist, Senior Manager & Technical Lead at Google
+ 1 speaker
Available
In cart
Free
Free
Free
Free
Free
Free

Buy this video

Video

Access to the talk “Building models with tf.text (TF World '19)”
Available
In cart
Free
Free
Free
Free
Free
Free

Conference Cast

With ConferenceCast.tv, you get access to our library of the world's best conference talks.

Conference Cast
558 conferences
22059 speakers
8190 hours of content