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

229 Views

Thanks! Share it with your friends!

You disliked this video. Thanks for the feedback!

Published Aug 23, 2017

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:
Watch more Android talks at I/O '17 here:
Watch more Chrome talks at I/O '17 here:
Watch more Firebase talks at I/O '17 here:
Subscribe to the Google Developers channel:
#io17 #GoogleIO #GoogleIO2017

Category: Tech

Be the first to comment

Sign in

Create your account

Add Video

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

Up Next