prezentacia ma logo fricky
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@@ -17,10 +17,10 @@
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% Neural Network Structure
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\begin{scope}[local bounding box=network]
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% Layer labels
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\node[text width=2em, text centered] at (0,2) {\small Vstup};
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\node[text width=2em, text centered] at (2,2) {\small Skrytá 1};
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\node[text width=2em, text centered] at (4,2) {\small Skrytá 2};
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\node[text width=2em, text centered] at (6,2) {\small Výstupná};
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\node at (0,2) {\small Vstup};
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\node at (2,2) {\small Skrytá 1};
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\node at (4,2) {\small Skrytá 2};
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\node at (6,2) {\small Výstupná};
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% Input layer
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\node[circle, draw=blue!60, fill=blue!20, minimum size=0.8cm, inner sep=0pt, text width=1.2em, align=center, font=\tiny] (I-1) at (0,1) {$V_{\text{out}}$};
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@@ -43,7 +43,7 @@
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% Connections
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\foreach \i in {1,2,3} {
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\draw[->, gray] (I-\i) -- (H1-1) node[midway, above, sloped, font=\tiny] (if \i=1 then {$w_{1,1}$} else {});
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\draw[->, gray] (I-\i) -- (H1-1) node[midway, above, sloped, font=\tiny] {\ifnum\i=1 $w_{1,1}$\fi};
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\draw[->, gray] (I-\i) -- (H1-2);
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\draw[->, gray] (I-\i) -- (H1-3);
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}
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