Android Meets TensorFlow: How to Accelerate Your App with AI (Google I/O '17)

Subscribers:
2,510,000
Published on ● Video Link: https://www.youtube.com/watch?v=25ISTLhz0ys



Duration: 39:08
36,681 views
503


Portability is one of the main benefits of TensorFlow -- you can easily move a neural network model to Android and run predictions on mobile phones, for all kinds of AI tricks from image recognition to motion recognition. But models are often large (tens of megabytes) and prediction can consume lots of CPU power. In this session, we'll share tips and tricks on overcoming these challenges so you can bring the latest AI technologies to your Android app.

See all the talks from Google I/O '17 here: https://goo.gl/D0D4VE
Watch more Android talks at I/O '17 here: https://goo.gl/c0LWYl
Watch more Chrome talks at I/O '17 here: https://goo.gl/Q1bFGY
Watch more Firebase talks at I/O '17 here: https://goo.gl/pmO4Dr

Subscribe to the Google Developers channel: http://goo.gl/mQyv5L

#io17 #GoogleIO #GoogleIO2017 event: Google I/O 2017; re_ty: Publish;







Tags:
Kaz Sato
Hak Matsuda
machine learning
AI
Google IO 2017
google io
I/O
io 2017
io17
google io17
#io17
google i o
i o
io conference
what is io
google conference
io google
google event
google developer conference
google
shoreline amphitheatre
Location: MTV
GDS: Full Production
Team: Scalable Advocacy
Fullname: other
Product: other