Serving Models in Production with TensorFlow Serving (TensorFlow Dev Summit 2017)

Subscribers:
2,510,000
Published on ● Video Link: https://www.youtube.com/watch?v=q_IkJcPyNl0



Duration: 19:20
41,175 views
399


Serving is the process of applying a trained model in your application. In this talk, Noah Fiedel describes TensorFlow Serving, a flexible, high-performance ML serving system designed for production environments.

Visit the TensorFlow website for all session recordings: https://goo.gl/bsYmza

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


event: TensorFlow Dev Summit 2017; re_ty: Publish;







Tags:
Google
developers
Product: Web
Fullname: Other
Team: Scalable Advocacy
GDS: Full Production
Location: MTV
TensorFlow
Tensor Flow
Dev Summit
Dev
Summit
Livestream
Machine Learning
serving models
production
serving