I am using Tensorflow + Python.
I am curious if I can release a saved Tensorflow model (architecture + trained variables) without detailed source code. I'm aware of
The TensorFlow Serving project is intended to make this use case straightforward (assuming that the end user is only using the model for inference, not training). TensorFlow Serving includes an
Exporter class that takes your
tf.GraphDef that defines your overall model, and a "signature" that describes the inputs to and output from your model.
The basics tutorial has a good introduction to exporting your model.