It's also reasonably similar to tf.slim, which we haven't released as a standalone supported component yet, but that's included in the release of the trainable

It's also reasonably similar to tf.slim, which we haven't released as a standalone supported component yet, but that's included in the release of the trainable inception model -- https://github.com/tensorflow/models/tree/master/inception/inception/slim https://github.com/tensorflow/models/tree/master/inception/i... I think it's great that we're seeing a lot of experimentation in how to express models for machine learning. It's very clear we haven't found the best ways yet, and seeing what people choose to try to make easy to express (and harder) is good for progress. (I'm still grouchy about the state of modularity within machine learning models. It's not easy enough to reuse / have libraries at the model level yet.)