I have a question regarding the difference between TensorFlow Serving
versus TensorFlow service. (Sorry that I'm not familiar with this at
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?