char-rnn-tensorflow
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Confusion in train.py
Hi, may I ask what does Line 115-117 do in train.py?
for i, (c, h) in enumerate(model.initial_state): feed[c] = state[i].c feed[h] = state[i].h
In the previous line, doesn't the x and y has already assigned to 'feed' already?
Thanks!