课程五(Sequence Models),第一 周(Recurrent Neural Networks) —— 0.Practice questions:Recurrent Neural Networks
【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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