smal changes

prezentacia/2.tex

@@ -117,7 +117,7 @@ type B = LibTorch;
   kompilátor to zastaví ešte pred spustením.
 \end{frame}
 
-\begin{frame}[fragile]{Ako vyzerá model v Burn}
+\begin{frame}[fragile]{Ako vyzerá model v Burn-e}
 \begin{lstlisting}[language=Rust, style=colouredRust]
 #[derive(Module)]
 pub struct MnistModel<B: Backend> {
@@ -125,7 +125,7 @@ pub struct MnistModel<B: Backend> {
     linear2: Linear<B>,
     activation: Relu,
 }
-\end{lstlisting}]
+\end{lstlisting}
   \vspace{0.5em}
   Derive makro \texttt{Module} automaticky vygeneruje:
   \begin{itemize}
@@ -146,7 +146,7 @@ fn forward(&self, x: Tensor<B, 2>) -> Tensor<B, 2> {
 
 \end{frame}
 
-\begin{frame}{Ako funguje autodiff v Burn}
+\begin{frame}{Ako funguje autodiff v Burn-e}
   Burn zabalí ľubovoľný backend do autodiff vrstvy:
   \vspace{0.5em}
   \begin{enumerate}

prezentacia/main/main.log

@@ -3183,7 +3183,7 @@ ona/iwonar.pfb></nix/store/56vq9r21wl8m731rsri7nh3l4ipih7jj-texlive-2025-r78234-
 final-env-texmfdist/fonts/type1/public/mathdesign/mdbch/md-chb7t.pfb></nix/store
 /56vq9r21wl8m731rsri7nh3l4ipih7jj-texlive-2025-r78234-final-env-texmfdist/fonts/
 type1/public/mathdesign/mdbch/md-chb7y.pfb>
-Output written on main.pdf (13 pages, 95816 bytes).
+Output written on main.pdf (13 pages, 95781 bytes).
 
 PDF statistics: 196 PDF objects out of 1000 (max. 8388607)
  115 compressed objects within 2 object streams