Question

TensorFlow serving vs TensorFlow service

  • 27 February 2018
  • 0 replies
  • 152 views

I have a question regarding the difference between TensorFlow Serving


versus TensorFlow service. (Sorry that I'm not familiar with this at


all.)


I found TensorFlow serving's definition, which is "TensorFlow Serving


is a flexible, high-performance serving system for machine learning


models, designed for production


environments."(https://www.tensorflow.org/serving/) While I'm


wondering what TensorFlow service is? Such as in this sentences:


"TensorFlow models can be deployed to production services like


TensorFlow service, and mobile devices."


And what are the production services? I guess the TensorFlow service


refers to some service that helps manage TensorFlow, rather than


TensorFlow Serving which is a system to deploy the TensorFlow model.


Is that correct? I'm confused about what the TensorFlow service is,


can you share some light on it?


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