neural network - How to obtain the gradients of the RNN variables connected to the input sequence (in TensorFlow) -

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i monitor (and possible manually modify) gradients of recurrent cells such lstm or gru. in addition, interested in gradients of variables directly connected input sequencex.

obtaining gradients of graph pretty straightforward -optimizer.compute_gradients(loss).

so question "how can filter variables connected x?" universal solution might not exist, hence happy kind of manual hacking of variable names. thanks


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