December 2018
Intermediate to advanced
274 pages
7h 46m
English
Content preview from Machine Learning for Mobile
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Inference on a server
In this approach, once the model is trained, we host the model on a server to utilize it from the application.
The model can be hosted either in a cloud machine or on a local server, or it can be that of a hosted machine learning provider. The server is going to publish the endpoint URL, which needs to be accessed to utilize it to make the required predictions. The required dataset is to be passed as input to the service.
Doing the inference on a server makes the mobile application simple. The model can be improved periodically, without having to redeploy the mobile client application. New features can be added into the model easily. There is no requirement to upgrade the mobile application for any model changes.
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