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Tobias Arndt
4 years ago
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1a45e7d596
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\begin{figure}[h]
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\centering
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\begin{subfigure}{0.19\textwidth}
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\includegraphics[width=\textwidth]{Plots/Data/fashion_mnist0.pdf}
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\caption{T-shirt/top}
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\end{subfigure}
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\begin{subfigure}{0.19\textwidth}
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\includegraphics[width=\textwidth]{Plots/Data/fashion_mnist1.pdf}
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\caption{Trousers}
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\end{subfigure}
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\begin{subfigure}{0.19\textwidth}
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\includegraphics[width=\textwidth]{Plots/Data/fashion_mnist2.pdf}
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\caption{Pullover}
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\end{subfigure}
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\begin{subfigure}{0.19\textwidth}
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\includegraphics[width=\textwidth]{Plots/Data/fashion_mnist3.pdf}
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\caption{Dress}
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\end{subfigure}
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\begin{subfigure}{0.19\textwidth}
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\includegraphics[width=\textwidth]{Plots/Data/fashion_mnist4.pdf}
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\caption{Coat}
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\end{subfigure}\\
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\begin{subfigure}{0.19\textwidth}
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\includegraphics[width=\textwidth]{Plots/Data/fashion_mnist5.pdf}
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\caption{Sandal}
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\end{subfigure}
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\begin{subfigure}{0.19\textwidth}
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\includegraphics[width=\textwidth]{Plots/Data/fashion_mnist6.pdf}
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\caption{Shirt}
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\end{subfigure}
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\begin{subfigure}{0.19\textwidth}
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\includegraphics[width=\textwidth]{Plots/Data/fashion_mnist7.pdf}
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\caption{Sneaker}
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\end{subfigure}
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\begin{subfigure}{0.19\textwidth}
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\includegraphics[width=\textwidth]{Plots/Data/fashion_mnist8.pdf}
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\caption{Bag}
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\end{subfigure}
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\begin{subfigure}{0.19\textwidth}
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\includegraphics[width=\textwidth]{Plots/Data/fashion_mnist9.pdf}
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\caption{Ankle boot}
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\end{subfigure}
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\caption{The fashtion MNIST data set contains 70.000 images of
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preprocessed product images from Zalando, which are categorized as
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T-shirt/top, Trouser, Pullover, Dress, Coat, Sandal, Shirt,
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Sneaker, Bag, Ankle boot. Of these images 60.000 are used as training images, while
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the rest are used to validate the models trained.}
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\label{fig:MNIST}
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\end{figure}
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%%% Local Variables:
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%%% mode: latex
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%%% TeX-master: "../main"
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%%% End:
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@ -0,0 +1,79 @@
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\pgfplotsset{
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compat=1.11,
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legend image code/.code={
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\draw[mark repeat=2,mark phase=2]
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plot coordinates {
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(0cm,0cm)
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(0.3cm,0cm) %% default is (0.3cm,0cm)
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(0.6cm,0cm) %% default is (0.6cm,0cm)
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};%
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}
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}
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\begin{figure}
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\begin{subfigure}[h]{\textwidth}
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\begin{tikzpicture}
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\begin{axis}[legend cell align={left},yticklabel style={/pgf/number format/fixed,
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/pgf/number format/precision=3},tick style = {draw = none}, width = \textwidth,
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height = 0.6\textwidth, ymin = 0.988, legend style={at={(0.9825,0.0175)},anchor=south east},
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xlabel = {epoch}, ylabel = {Classification Accuracy}, cycle list/Dark2]
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\addplot table
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[x=epoch, y=val_accuracy, col sep=comma, mark = none]
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{Plots/Data/adam_datagen_full_mean.log};
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\addplot table
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[x=epoch, y=val_accuracy, col sep=comma, mark = none]
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{Plots/Data/adam_datagen_dropout_02_full_mean.log};
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\addplot table
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[x=epoch, y=val_accuracy, col sep=comma, mark = none]
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{Plots/Data/adam_datagen_dropout_04_full_mean.log};
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\addplot table
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[x=epoch, y=val_accuracy, col sep=comma, mark = none]
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{Plots/Data/adam_dropout_02_full_mean.log};
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\addplot table
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[x=epoch, y=val_accuracy, col sep=comma, mark = none]
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{Plots/Data/adam_dropout_04_full_mean.log};
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\addplot [dashed] table
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[x=epoch, y=val_accuracy, col sep=comma, mark = none]
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{Plots/Data/adam_full_mean.log};
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\addlegendentry{\footnotesize{G.}}
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\addlegendentry{\footnotesize{G. + D. 0.2}}
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\addlegendentry{\footnotesize{G. + D. 0.4}}
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\addlegendentry{\footnotesize{D. 0.2}}
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\addlegendentry{\footnotesize{D. 0.4}}
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\addlegendentry{\footnotesize{Default}}
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\end{axis}
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\end{tikzpicture}
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\caption{Classification accuracy}
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\vspace{.25cm}
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\end{subfigure}
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\begin{subfigure}[h]{1.0\linewidth}
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\begin{tabu} to \textwidth {@{} l *6{X[c]} @{}}
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\multicolumn{7}{c}{Classification Accuracy}\Bstrut
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\\\hline
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&\textsc{Adam}&D. 0.2&D. 0.4&G.&G.+D.~0.2&G.+D.~0.4 \Tstrut \Bstrut
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\\\hline
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mean&0.9914&0.9918&0.9928&0.9937&0.9938&0.9940 \Tstrut \\
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max& \\
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min& \\
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\multicolumn{7}{c}{Training Accuracy}\Bstrut
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\\\hline
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mean&0.9994&0.9990&0.9989&0.9967&0.9954&0.9926 \Tstrut \\
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max& \\
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min& \\
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\end{tabu}
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\caption{Mean and maximum accuracy after 48 epochs of training.}
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\end{subfigure}
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\caption{Accuracy for the net given in ... with Dropout (D.),
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data generation (G.), a combination, or neither (Default) implemented and trained
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with \textsc{Adam}. For each epoch the 60.000 training samples
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were used, or for data generation 10.000 steps with each using
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batches of 60 generated data points. For each configuration the
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model was trained 5 times and the average accuracies at each epoch
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are given in (a). Mean, maximum and minimum values of accuracy on
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the test and training set are given in (b).}
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\end{figure}
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%%% Local Variables:
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%%% mode: latex
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%%% TeX-master: "../main"
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%%% End:
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