diff --git a/rsc/AUC_normal_lowcer_2_10.png b/rsc/AUC_normal_lowcer_2_10.png new file mode 100644 index 0000000..60b7a41 Binary files /dev/null and b/rsc/AUC_normal_lowcer_2_10.png differ diff --git a/rsc/AUC_normal_lowcer_2_50.png b/rsc/AUC_normal_lowcer_2_50.png new file mode 100644 index 0000000..e5aada2 Binary files /dev/null and b/rsc/AUC_normal_lowcer_2_50.png differ diff --git a/rsc/AUC_normal_lowcer_5_50.png b/rsc/AUC_normal_lowcer_5_50.png new file mode 100644 index 0000000..17296f5 Binary files /dev/null and b/rsc/AUC_normal_lowcer_5_50.png differ diff --git a/src/experimentalresults.tex b/src/experimentalresults.tex index 5d344af..00ccabb 100644 --- a/src/experimentalresults.tex +++ b/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} \ No newline at end of file + \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 \ No newline at end of file diff --git a/src/materialandmethods.tex b/src/materialandmethods.tex index 575e291..3123b36 100644 --- a/src/materialandmethods.tex +++ b/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}}