From Research to Production with TensorFlow Serving (Google I/O '17)

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: goo.gl/D0D4VE
Watch more Android talks at I/O '17 here: goo.gl/c0LWYl
Watch more Chrome talks at I/O '17 here: goo.gl/Q1bFGY
Watch more Firebase talks at I/O '17 here: goo.gl/pmO4Dr
Subscribe to the Google Developers channel: goo.gl/mQyv5L
#io17 #GoogleIO #GoogleIO2017 event: Google I/O 2017; re_ty: Publish;

[@barnblitz]

great talk

[@kazinazmulhaqueshezan4219]

Good one buddy.

[@user-be5ju4io8j]

nice