memn2n
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Separate memory from model?
Assuming I could define a custom gradient for the nil embedding, the memory a.k.a variables A, B, TA, and TB can be in a separate memory component.
The main benefit of this would be to more easily play around with different models around the memory.
Might be able to this in TF v0.9 with the new tf.Function
feature.