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-rw-r--r--doc/tex/systemDesign.tex4
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/tex/systemDesign.tex b/doc/tex/systemDesign.tex
index 7975276..f54032f 100644
--- a/doc/tex/systemDesign.tex
+++ b/doc/tex/systemDesign.tex
@@ -224,7 +224,7 @@ been selected so each node can have as input each of the vertices of the board.
A flatten layer acts then to make the output one-dimensional, and a final dense
layer provides the vector containing the likelihood of each possible move.
-The design of this network is shown in \flist{code:denseModel} and
+The design of this network is shown in \lref{code:denseModel} and
\fref{fig:denseNN} as provided by Keras' summary and plot\_model functions
respectively.
@@ -249,7 +249,7 @@ of being trained to recognize patterns on the board. A flatten layer acts then
to make the output one-dimensional, and a final dense layer provides the vector
containing the likelihood of each possible move.
-The design of this network is shown in \flist{code:convModel} and
+The design of this network is shown in \lref{code:convModel} and
\fref{fig:convNN} as provided by Keras' summary and plot\_model functions
respectively.