From 48ede0824993ed76c07f34e8513dbed6d6924676 Mon Sep 17 00:00:00 2001 From: mhjensen Date: Sun, 6 Jan 2019 07:43:03 -0500 Subject: [PATCH] small addition --- doc/src/Recurrent/Recurrent.do.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/src/Recurrent/Recurrent.do.txt b/doc/src/Recurrent/Recurrent.do.txt index e37213cb8..cc3a0b6ea 100644 --- a/doc/src/Recurrent/Recurrent.do.txt +++ b/doc/src/Recurrent/Recurrent.do.txt @@ -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.