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Train in TensorFlow and deploy in Core ML with Tools 0.7

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Train in TensorFlow and deploy in Core ML with Tools 0.7

Apple has up to date Core ML Tools to model 0.7. Integrated is a brand new TensorFlow converter that we could developers educate gadget studying fashions in Google's TensorFlow and deploy them with Apple's Core ML

From the Google Developers Blog:

As of late, in collaboration with Apple, we're satisfied to announce reinforce for Core ML! With this announcement, iOS developers can leverage the strengths of Core ML for deploying TensorFlow fashions. As well as, TensorFlow Lite will proceed to reinforce cross-platform deployment, together with iOS, during the TensorFlow Lite layout (.tflite) as described in the unique announcement.

Core ML Tools 0.7 additionally comprises reinforce for customized layers, so you'll temporarily create, take a look at, and deploy new layers the use of Core ML on iOS 11.2 or later.

Floating Level 16 (FP16) is incorporated for neural networks as neatly, which must cut back fashion sizes by way of part.

You'll be able to in finding extra, and obtain now, on GitHub and Pyp

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