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

Опубликовано 18 мая 2021, 21:45

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 → goo.gle/3fIgUAj
Optimize your website with machine learning → goo.gle/3u5nyGz
TensorFlow Extended (TFX) → goo.gle/3gLqu7n

Speakers: Minko Gechev, David Zats

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

Subscribe to Google Chrome Developers → 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;