# Sequence Models

In section 8.1.1.1

This leads to models that estimate x_t with \hat{x}_t = P(x_t \mid h_{t})

But going by the figure 8.1.2, isn’t x^_t calculated through a combination of h_t and x_t-1?

\hat{x}_t is calculated based on h_t, where ℎ_𝑡=𝑔(ℎ_{𝑡−1},𝑥_{𝑡−1})