December 2018
Intermediate to advanced
764 pages
18h 18m
English
TensorFlow Serving (TFS) is a high-performance server architecture for serving the machine learning models in production. It offers out-of-the-box integration with the models built using TensorFlow.
In TFS, a model is composed of one or more servables. A servable is used to perform computation, for example:
The manager component manages the full lifecycle for the servables including loading/unloading a servable and serving the servable.
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