Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow-P2P
Hannes Hapke, Catherine Nelson, “Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow”
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems.

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow-P2P
English | ISBN: 1492053198 | 2020 | PDF | 366 pages | 16 MB
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Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow-P2P
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