November 2020
Intermediate to advanced
314 pages
5h 55m
English
Content preview from Learn TensorFlow Enterprise
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Section 4 – Model Optimization and Deployment
This part introduces ways to improve the efficiency and speed of a model and its pipeline. We will start with the concept of model runtime, and then model optimization, followed by using TensorFlow Serving to serve models as a Docker container via a RESTful API.
This section comprises the following chapters:
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