August 2019
Intermediate to advanced
202 pages
5h 9m
English
Content preview from What's New in TensorFlow 2.0
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Inference on backend servers
In today's world, distributed systems are everywhere. Ranging from the websites we browse to the apps that we use on our phones, hardly a day passes when we do not use distributed systems. Given this omnipresent nature, it is an obvious choice to adapt this paradigm for building machine learning systems. A typical pattern in building distributed systems is to perform resource-intensive (and data-sensitive) computations on backend servers whilst pushing lighter (and comparatively independent) compute tasks to the user's device. A large subset of machine learning applications falls into the resource-intensive category. Furthermore, machine learning models are built using data. In a significant fraction of real-world ...
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