Announcing Core ML support in TensorFlow Lite

On December 5, 2017, the TensorFlow Team announced the integration of Core ML support in TensorFlow Lite, enhancing the capabilities for iOS developers by allowing them to deploy TensorFlow models using Core ML. This collaboration with Apple enables the conversion of TensorFlow models into the Core ML Model Format (.mlmodel) via a specialized tool, while maintaining TensorFlow Lite's cross-platform deployment capabilities across various devices, including iOS, in the TensorFlow Lite format (.tflite). Additional resources, such as documentation and a pip-installable package, are available to assist developers in utilizing this new feature effectively.