December 2018
Intermediate to advanced
274 pages
7h 46m
English
Now that we understand the components of TensorFlow Lite, we'll look at how a mobile application works with the TensorFlow components to provide the mobile ML solution.
The mobile application should leverage the TensorFlow Lite model file to perform the inference for future data. The TensorFlow Lite model file can either be packaged with the mobile application and deployed together, or kept separate from the mobile application deployment package. The following diagram depicts the two possible deployment scenarios:

Each deployment has its pros and cons. In the first case, where both ...
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