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Posted by The TensorFlow Team

announcing core ml support in tensorflow lite - image1 - Announcing Core ML support in TensorFlow Lite

On November 14th, we announcedthe developer preview of TensorFlow , TensorFlow’s lightweight solution for and embedded devices.

Today, in collaboration with Apple, we are happy to announce for Core ML! With this announcement, iOS developers can leverage the strengths of for deploying TensorFlow models. In addition, TensorFlow Lite will continue to support cross-platform deployment, iOS, through the TensorFlow Lite format (.tflite) as described in the original announcement.

Support for Core ML is provided through a tool that takes a TensorFlow model and converts it to the Core ML Model Format (.mlmodel).

For more information, check out the TensorFlow Lite documentation pages, and the Core ML converter. The pypi pip installable package is available here: https://pypi.python.org/pypi/tfcoreml/0.1.0.

Stay tuned for more updates.

Happy TensorFlow Lite coding!

.blgimg img { width: 75%; border: 0; : block; margin: auto; padding: 10px 0 10px 0; } announcing core ml support in tensorflow lite - O3My20MptiM - Announcing Core ML support in TensorFlow Lite



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