Initializing LSTM hidden state Tensorflow/Keras

Question

Can someone explain how can I initialize hidden state of LSTM in tensorflow? I am trying to build LSTM recurrent auto-encoder, so after i have that model trained i want to t

Answer 1

Assuming an RNN is in layer 1 and hidden/cell states are numpy arrays. You can do this:

from keras import backend as K

K.set_value(model.layers[1].states[0], hidden_states)
K.set_value(model.layers[1].states[1], cell_states)

States can also be set using

model.layers[1].states[0] = hidden_states
model.layers[1].states[1] = cell_states

but when I did it this way my state values stayed constant even after stepping the RNN.