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Does this mean the weights output can be backend agnostic?

Also, are there any examples using this for the coral TPU?

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.

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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