How to extract the cell state and hidden state from an RNN model in tensorflow?

Question

I am new to TensorFlow and have difficulties understanding the RNN module. I am trying to extract hidden/cell states from an LSTM. For my code, I am using the implementation fr

Answer 1

You may simply collect the values of the states in the same way accuracy is collected.

I guess, pred, states, acc = sess.run(pred, states, accuracy, feed_dict={x: batch_x, y: batch_y}) should work perfectly fine.