small addition

2019-01-06 07:43:03 -05:00
parent 562baf92e8
commit 48ede08249
1 changed files with 1 additions and 1 deletions
@@ -35,4 +35,4 @@ to the inputs $x_t$, the layer at a time $t$ receives also as input
 the output from the previous layer $t-1$, that is $y_{t1}$.

 This means also that we need to have weights that link both the inputs $x_t$ to the outputs $y_t$ as well as weights that link
-the output from the previous time $y_{t-1}$ and $y_t$.
+the output from the previous time $y_{t-1}$ and $y_t$.   The figure here shows an example of a simple RNN.