From: couturie Date: Thu, 29 Oct 2015 15:52:30 +0000 (-0400) Subject: new X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/presentation_reservoir.git/commitdiff_plain/9f893c74c4b2bb41bdacbbd8f340390d1ab67224?hp=8ea5e6b8bd07463925587aafb8b881c24408262f new --- diff --git a/reservoir.tex b/reservoir.tex index 022e525..594ad47 100644 --- a/reservoir.tex +++ b/reservoir.tex @@ -174,7 +174,8 @@ Application on the MNIST problem} \begin{femtoBlock} {Main lines\\} \begin{itemize} - \item Numerical integration to compute the nonlinear transient response + \item Numerical integration to compute the nonlinear transient + response (runge kuta in C) \item[] $\Rightarrow$ computation of matrices $A$ and $B$ \item Computation of the Readout \item Test of the solution (cross validation) @@ -191,10 +192,10 @@ Application on the MNIST problem} \begin{frame}{Parallelization Scheme} % Slide 8 \begin{itemize} - \item Port of the code in C++ + \item Rewrite the code in C++ \item Parallelization with MPI (Message Passing Interface) \item Computation of data response (sound, image) is independent so - it can be parallelized + it can be parallelized (computation of matrices A and B) \item Different regression tests are also independent \item Test of new idea? First test with matlab and then adapt to C++ with MPI @@ -218,7 +219,7 @@ Application on the MNIST problem} Next: \begin{itemize} \item Number of nodes that significantly improve the solution (threshold) - \item Form of a convolutional filter? + \item Input filter (convolutional filter for images) \item Potentially any parameters \end{itemize} @@ -235,6 +236,9 @@ Application on the MNIST problem} \item Next: maybe other heuristics \end{itemize} \end{femtoBlock} + \begin{femtoBlock} + {Similar results with the SDR problem\\} + \end{femtoBlock} \end{frame} \begin{frame}{Performances} % Slide 11