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?
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?
