\pgfplotsset {
compat=1.11,
legend image code/.code={
\draw [mark repeat=2,mark phase=2]
plot coordinates {
(0cm,0cm)
(0.0cm,0cm) %% default is (0.3cm,0cm)
(0.0cm,0cm) %% default is (0.6cm,0cm)
} ;%
}
}
\begin { figure}
\begin { subfigure} [h]{ \textwidth }
\begin { tikzpicture}
\begin { axis} [tick style = { draw = none} , width = \textwidth ,
height = 0.6\textwidth , ymin = 0.92, legend style={ at={ (0.9825,0.75)} ,anchor=north east} ,
xlabel = { epoch} , ylabel = { Classification Accuracy} ]
\addplot table
[x=epoch, y=val_ accuracy, col sep=comma, mark = none]
{ Plots/Data/adagrad.log} ;
\addplot table
[x=epoch, y=val_ accuracy, col sep=comma, mark = none]
{ Plots/Data/adadelta.log} ;
\addplot table
[x=epoch, y=val_ accuracy, col sep=comma, mark = none]
{ Plots/Data/adam.log} ;
\addlegendentry { \footnotesize { ADAGRAD} }
\addlegendentry { \footnotesize { ADADELTA} }
\addlegendentry { \footnotesize { ADAM} }
\addlegendentry { SGD$ _ { 0 . 01 } $ }
\end { axis}
\end { tikzpicture}
%\caption{Classification accuracy}
\vspace { .25cm}
\end { subfigure}
% \begin{subfigure}[b]{\textwidth}
% \begin{tikzpicture}
% \begin{axis}[tick style = {draw = none}, width = \textwidth,
% height = 0.6\textwidth, ymax = 0.5,
% xlabel = {epoch}, ylabel = {Error Measure\vphantom{y}},ytick ={0,0.1,0.2,0.3,0.4,0.45,0.5}, yticklabels =
% {0,0.1,0.2,0.3,0.4,\phantom{0.94},0.5}]
% \addplot table
% [x=epoch, y=val_loss, col sep=comma, mark = none] {Plots/Data/adagrad.log};
% \addplot table
% [x=epoch, y=val_loss, col sep=comma, mark = none] {Plots/Data/adadelta.log};
% \addplot table
% [x=epoch, y=val_loss, col sep=comma, mark = none] {Plots/Data/adam.log};
% \addlegendentry{\footnotesize{ADAGRAD}}
% \addlegendentry{\footnotesize{ADADELTA}}
% \addlegendentry{\footnotesize{ADAM}}
% \addlegendentry{SGD$_{0.01}$}
% \end{axis}
% \end{tikzpicture}
% \caption{Performance metrics during training}
% \vspace{.25cm}
% \end{subfigure}
\begin { subfigure} [b]{ 1.0\linewidth }
\begin { tabu} to \textwidth { @{ } *3{ X[c]} c*3{ X[c]} @{ } }
\multicolumn { 3} { c} { Classification Accuracy}
& ~& \multicolumn { 3} { c} { Error Measure}
\\ \cline { 1-3} \cline { 5-7}
ADAGRAD& ADADELTA& ADAM& & ADAGRAD& ADADELTA& ADAM
\\ \cline { 1-3} \cline { 5-7}
1& 1& 1& & 1& 1& 1
\end { tabu}
\caption { Performace metrics after 20 epochs}
\end { subfigure}
\caption [Performance comparison of training algorithms] { Classification accuracy on the test set and ...Performance metrics of the network given in ... trained
with different optimization algorithms}
\label { fig:comp_ alg}
\end { figure}
%%% Local Variables:
%%% mode: latex
%%% TeX-master: "../main"
%%% End:
