October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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TensorFlow Lite
The TensorFlow Lite framework consists of five high-level components. All of these components are optimized to run on a mobile platform as shown below in the architecture diagram:
Here are the core units of the TensorFlow Lite architecture:
- The first part is to convert your existing model into a TensorFlow Lite-compatible model (.tflite) using the TensorFlow Lite Converter, and have your trained model on the disk itself. You can also use the pre-trained model in your mobile or embedded applications.
- Java/C++ API—the API loads the .tflite model and invokes the interpreter. It is available on all platforms. Java API is a wrapper ...
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