https://d2l.ai/chapter_recurrent-neural-networks/sequence.html
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, isnβt x^_t
calculated through a combination of h_t
and x_t-1
?
\hat{x}_t is calculated based on h_t, where β_π‘=π(β_{π‘β1},π₯_{π‘β1})
Having trouble with
d2l.plot(time, [x], βtimeβ, βxβ, xlim=[1, 1000], figsize=(6, 3))
in tensorflow, no error but no ploted image either, what am I doing wrong?