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Yes, model weights saved with Keras Core are backend-agnostic. You can train a model in one backend and reload it in another.

Coral TPU could be used with Keras Core, but via the TensorFlow backend only.

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Super cool, does that mean if someone trains something using the PyTorch backend, I can still use it with the coral if I load the weights using the tensorflow backend?

That's right, if the model is backend-agnostic you can train it with a PyTorch training loop and then reload it and use it with TF ecosystem tools, like serve it with TF-Serving or export it to Coral TPU.

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