X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/presentation_reservoir.git/blobdiff_plain/8ea5e6b8bd07463925587aafb8b881c24408262f..9f893c74c4b2bb41bdacbbd8f340390d1ab67224:/reservoir.tex?ds=sidebyside

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