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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 elsew

by boulos 10y ago

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

nswanberg 10y ago
Thanks. That works in Cloud ML now? I'll try it. The copy on https://cloud.google.com/ml/ 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.
- boulos 10y ago
  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.]
  - nswanberg 10y ago
    Thanks!