From Research to Production with TensorFlow Serving (Google I/O '17)
Channel:
Subscribers:
2,510,000
Published on ● Video Link: https://www.youtube.com/watch?v=sqYdlSF0BI8
Learn how to bring your TensorFlow models from research to production. In this talk, Noah Fiedel describes how to export and serve your models at scale with TensorFlow Serving. He will also cover best practices and lessons learned from large scale serving of machine learned models.
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;
Other Videos By Google for Developers
Tags:
Noah Fiedel
Google
developers
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