October 2018
Intermediate to advanced
246 pages
6h 26m
English
While ML is getting popular, it is not yet feasible to running ML models on mobile platforms to reach the masses. When you are building your own model for mobile apps, there are some limitations, as well. While it is possible to make predictions on a local device without a cloud service, it is not advisable to build an evolving model that makes predictions based on your current actions and accumulates data, evolving on the local device itself. As of right now, we can run pre-built models and get inferences out of them on mobile devices, due to the constraints on memory and the processing power of the mobile devices. Once we have better processors on a mobile device, we can train and improve the model ...
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