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# Layer <math>n </math> has hidden vector <math>h_{n, t}</math>, parameters <math>\theta_n</math>, and maps <math>f_{\theta_n} : (x_{n-1, t}, h_{n, t}) \mapsto (x_{n, t}, h_{n, t+1}) </math>.
Each layer operates as a stand-alone RNN, and each layer's output sequence is used as the input sequence to the layer above. There is no conceptual limit to the depth of
===Bidirectional===
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