October 2018
Beginner
362 pages
9h 32m
English
Content preview from Hands-On Artificial Intelligence for Beginners
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Training and deploying with the Google Cloud Platform
For a much simpler deployment procedure, we can deploy a TensorFlow SavedModel to production with the Google Cloud Platform (GCP). In this section, we'll cover the basics of how to both train and deploy a model using GCP.
The GCP currently provides one of the most straightforward and easy interfaces for training and deploying models. If you are interested in getting your model up to production as quickly as possible, GCP is often your answer. Specifically, we'll be using the Cloud ML service, which is a compliment to AWS SageMaker that we just learned previously. Cloud ML is enabled currently enabled to run TensorFlow, Scikit-learn, and XGBoost right out of the box, although you can add ...
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