【解释】

It is appropriate when every input should be matched to an output.

【解释】

in a language model we try to predict the next step based on the knowledge of all prior steps.

【解释】

Γu is a vector of dimension equal to the number of hidden units in the LSTM.

【解释】

For the signal to backpropagate without vanishing, we need c<t> to be highly dependant on c<t−1>.

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