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As Cloud ML is "just" hosted TensorFlow, once you train the model it stores a .meta file in GCS for you. You can import this in TensorFlow [1] for serving elsewhere if you so choose. Is that what you're after?

[1] https://www.tensorflow.org/versions/r0.11/how_tos/meta_graph...

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Thanks. That works in Cloud ML now? I'll try it.

The copy on https://cloud.google.com/ml/ under Portable Models says "In future phases, models trained using Cloud Machine Learning can be downloaded for local execution" so I hadn't looked into it further.

Huh... maybe I'm mistaken. Lemme ask the experts and get back to you.

[Edit: Okay, we've decided that the exported model it produces is what you'd expect. We're going to update the landing page, once we can agree on what it should say.]

Thanks!

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