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

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: goo.gl/bsYmza
Subscribe to the Google Developers channel at goo.gl/mQyv5L
event: TensorFlow Dev Summit 2017; re_ty: Publish;

[@AminUllah-jz9uu]

Dear how to save model in .pb file
could anyone help me about this

[@dn5426]

am I the only one who found the audio to be barely audible?

[@valken666]

He should drink some water during the talk so we don't hear his dry saliva.

[@KimmoHintikka]

Nope voice is really faint.

[@deeplearningpartnership]

It's a little quiet, yes.

[@DavidKing123]

There's always that Video Production QA guy

[@deeplearningpartnership]

Brill.

[@jstitch]

source control exists since the 80's, come on!