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# RNN Structure

## RNN Structure

The image below shows the structure of a simple RNN.

## ![](/files/-M5-0WaYG8NZxFXp4Kf9)

An RNN maps every $$x^{\lt i\gt}$$ to a $$y^{\lt i\gt}$$, and while doing so, it uses information learned at previous timestamps. However, it does not use information from future timestamps.

$$a^{<t>} = g(W\_{aa}a^{<t-1>}+W\_{az}x^{<t>}+b\_{a})$$

$$\hat{y}^{<t>}=g(W\_{ya}a^{<t>}+b\_{y})$$