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update gate $z$: defines how much of the previous memory to keep around.
\[z = \sigma (x_t U^z + s_{t-1} W^z )\]
reset gate $r$:determines how to combine the new input with the previous memory.
\[r = \sigma(x_t U^r + s_{t-1} W^r )\]
Cell value $h$: \[h = \tanh (x_t U^h + (s_{t-1} \odot r) W^h)\]
hidden value $s_t$: \[s_t = (1-z)\odot h + z \odot s_{t-1}\]
Gated Recurrent Unit (GRU)公式简介
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原文地址：http://www.cnblogs.com/ZJUT-jiangnan/p/5392923.html
