TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. It works cross-Platform and is supported on Java, C++ (WIP), and Swift (WIP). The TFLite Support project consists of the following major components: TFLite Support Library: a cross-platform library that helps to deploy TFLite models onto mobile devices. TFLite Model Metadata: (metadata populato
Release 2.0.0 Major Features and Improvements TensorFlow 2.0 focuses on simplicity and ease of use, featuring updates like: Easy model building with Keras and eager execution. Robust model deployment in production on any platform. Powerful experimentation for research. API simplification by reducing duplication and removing deprecated endpoints. For details on best practices with 2.0, see the Effe
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