\item<1-> License: \begin{bf}Suggest BSD\end{bf} as it is used by many software in our field.
\begin{itemize}
\item Common license help share code.
\item When reusing code, don't forget to keep the license and the copyright notice
\end{itemize}
\item<2-> Common base object! \begin{bf}libgpuarray\end{bf}
\item<3-> Otherwise: put important implementation(e.g. convolution) in \begin{bf}separate file\end{bf} and \begin{bf}use raw ptr/shape/strides\end{bf} as inputs. Document that interface.
\item<4-> Acknowledge reuse \begin{bf}in section on web site\end{bf} AND \begin{bf}in papers\end{bf} about the software we reuse! (and use too)
\end{enumerate}
\end{frame}
\section{Future}
\begin{frame}
\tableofcontents[currentsection]
\end{frame}
\begin{frame}{Theano}
\begin{itemize}
\item Easier C code development and better documentation of that
\item Faster compilation
\item Multi-GPU
\item Better looping (update to scan)
\item Allow checkpoint with GPU to reload without GPU
\item Less memory allocation(lower Theano overhead)
\item Faster convolution
\end{itemize}
\end{frame}
\begin{frame}{Pylearn2}
\begin{itemize}
\item RNN
\item Better hyperparameter search support, using e.g. Hyperopt
\item Documentation
\item Checkpoint
\item Better support for sparse dataset
- Machine translation examples
- Gated activations for conditional computation
- Variational Auto-Encoders
\end{itemize}
\end{frame}
\begin{frame}{libgpuarray}
\begin{itemize}
\item Find other project to use it?
\item More functionality as NumPy
\item Move some of the functionality from Python/Theano to the C level
%\item - Trouver un moyen d'autotuner les kernels générés pour le device sur lequel ils roulent
