Future-proof web apps with Angular and TensorFlow.js | Session

Channel:
Chrome for Developers
Subscribers:
791,000
Published on ● Video Link: https://www.youtube.com/watch?v=df_QYkxfnfA


Duration: 14:22
11,448 views
261

In this Session, we share how you can build an intelligent User Interface (UI) at any scale by combining Angular and TensorFlow.js. First we explore how you can start with machine learning declaratively in your Angular templates in just a few minutes. Then you learn how to build an ML model with data from Google Analytics to better predict a user’s browsing patterns. Finally, we show a powerful TensorFlow Extended (TFX) based training pipeline to automate the training and deployment process.

Resources:
Predictive prefetching demo → https://goo.gle/3fIgUAj
Optimize your website with machine learning → https://goo.gle/3u5nyGz
TensorFlow Extended (TFX) → https://goo.gle/3gLqu7n

Speakers: Minko Gechev, David Zats

Watch more:
Web at Google I/O 2021 Playlist → https://goo.gle/io21-ChromeDevs
All Google I/O 2021 Technical Sessions → https://goo.gle/io21-technicalsessions
All Google I/O 2021 Sessions → https://goo.gle/io21-allsessions

Subscribe to Google Chrome Developers → https://goo.gle/ChromeDevs​


#GoogleIO #Web #ML/AI



product: TensorFlow - TensorFlow Extended, TensorFlow - TensorFlow JS; event: Google I/O 2021; fullname: Minko Gechev, David Zats; re_ty: Premiere;



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Tags:
purpose: Educate
type: Conference Talk (Full production)
pr_pr: Google I/O
Chrome Developer
Chrome Development
TensorFlow.js
Angular
TensorFlow Extended
TFX
ML model
Machine Learning model
ML model with Google
TFX how to UI with Angular and TensorFlow.js
ML with Angular
#GoogleIO
Google I/O
Google IO
Google developer conference
Google announcement
Google conference
Google
Chrome
Developers
Web