add more imgs

src/experimentalresults.tex

@@ -1,8 +1,31 @@
 \section{Experimental Results}
 
-\begin{figure}[h]
+\subsection{test}
+
+\begin{figure}
+    \centering
+    \includegraphics[width=\linewidth]{../rsc/AUC_normal_lowcer_2_50}
+    \caption{Architecture convolutional neural network}
+\end{figure}
+
+\begin{figure}
     \centering
     \includegraphics[width=\linewidth]{../rsc/AUC_normal_lowcer_2_20}
-    \caption{Architecture convolutional neural network. Image by \href{https://cointelegraph.com/explained/what-are-convolutional-neural-networks}{SKY ENGINE AI}}
-    \label{fig:cnn-architecture}
-\end{figure}
+    \caption{Architecture convolutional neural network}
+\end{figure}
+
+\subsection{test2}
+
+\begin{figure}
+    \centering
+    \includegraphics[width=\linewidth]{../rsc/AUC_normal_lowcer_2_10}
+    \caption{Architecture convolutional neural network}
+\end{figure}
+
+\begin{figure}
+    \centering
+    \includegraphics[width=\linewidth]{../rsc/AUC_normal_lowcer_5_50}
+    \caption{Architecture convolutional neural network3}
+\end{figure}
+
+Test

src/materialandmethods.tex

@@ -41,7 +41,7 @@ Common pooling layers include average- and max pooling.
 Finally, after some convolution layers the feature map is flattened and passed to a network of fully connected layers to perform a classification or regression task.
 \ref{fig:cnn-architecture} shows a typical binary classification task.
 
-\begin{figure}[h]
+\begin{figure}
     \centering
     \includegraphics[width=\linewidth]{../rsc/cnn_architecture}
     \caption{Architecture convolutional neural network. Image by \href{https://cointelegraph.com/explained/what-are-convolutional-neural-networks}{SKY ENGINE AI}}