\end{frame}
\begin{frame}{Performances of the parallel code} % Slide 12
- % To be completed
- \includegraphics[width=7.5cm]{speedup.pdf}
+ \begin{femtoBlock}
+ {Classification error for 10000 images\\}
+ \begin{itemize}
+ \item 1000 reservoirs of 2 neurons $\rightarrow$ error : 3.85\%\\
+ \item 1 reservoir of 2000 neurons $\rightarrow$ error : 7.14\%
+ \end{itemize}
+ \end{femtoBlock}
+ \begin{femtoBlock}
+ {Speedup\\}
+ \centering
+ \includegraphics[width=7.25cm]{speedup.pdf}
+ \end{femtoBlock}
\end{frame}
\begin{frame}{Exploring ways to improve the results} % Slide 13
- % Tableau recapitulant les performances
+ \begin{femtoBlock}
+ {Using the parallel NTC code\\}
+ % 1 - Partitionnement d'un reservoir en plein de petits sous-reservoirs
+ % 2 - Pre-traitement pour convolution
+ \end{femtoBlock}
+ \smallskip
+ \begin{femtoBlock}
+ {Using the Ogger library\\}
+ % Parler des travaux de Niels
+ % 1 - Augmentation du jeu de donnees par des images deformees
+ % 2 - Comites de reservoir
+ \end{femtoBlock}
\end{frame}
\begin{frame}{Comparison with other approaches} % Slide 14
- % 1 - Convolutional Neural Networks
- % 2 - Reservoir en pipeline (papier de 2015)
+ \begin{femtoBlock}
+ {Convolutional Neural Networks\\}
+ % 1 - Convolutional Neural Networks
+ \end{femtoBlock}
+ \begin{femtoBlock}
+ {Multilayer reservoir computing}
+ % 2 - Reservoir en pipeline (papier des belges de 2015)
+ \end{femtoBlock}
\end{frame}
\begin{frame}{Comparison with other approaches} % Slide 15
\item An evaluation on the MNIST problem
\end{itemize}
\end{femtoBlock}
+ \smallskip
\begin{femtoBlock}
{Future works\\}
\begin{itemize}
\item Committees
\item Correct errors of a reservoir by another one
\end{itemize}
+ \item Other applications
+ \begin{itemize}
+ \item Simulation of lung motion
+ \item Airflow prediction
+ \item etc.
+ \end{itemize}
\end{itemize}
\end{femtoBlock}
%Many perspectives (we are just beginning)
