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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.
The text was updated successfully, but these errors were encountered:
Might be able to this in TF v0.9 with the new tf.Function feature.
tf.Function
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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.
The text was updated successfully, but these errors were encountered: